The Telus Data Engineer interview guide, interview questions, salary data, and interview experiences.

Telus Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Telus? The Telus Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Telus Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Telus.</li>
<li>Practice real Telus Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Telus Data Engineer interview.


Getting ready for an Data Engineer interview at Telus? The Telus Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Telus Data Engineer roles.
- Gain insights into the Data Engineer interview process at Telus.
- Practice real Telus Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Telus Data Engineer interview.
        

Overview

What Telus Looks for in a Data Engineer

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Telus Data Engineer Interview Process

Interview Tips

You are tasked with keeping track of a customer’s addresses in your database.

However, customer’s addresses change whenever they move. We want to keep track of their moving history as well as the person that moves in afterwards.

How would you create or modify a schema to keep track of these address changes?

Create a schema to keep track of customer address changes

Address Schema

Data Modeling

You work as a data engineer for a city-wide bicycle rental company. The company wants to predict future bicycle rental volumes using historical data collected from multiple sources, such as station logs, weather files, and event schedules. You are given access to raw source files that are updated daily.

How would you design an end-to-end data pipeline to prepare and serve data for downstream predictive modeling of bicycle rental demand?

Design an end-to-end data pipeline to process and serve data for predicting bicycle rental volumes.

Bicycle Rental Data Pipeline

Batch & Stream Processing

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

Telus Data Engineer Interview Questions

Data Engineer | Brussels (Hybrid) | Up to €6500 Join our growing team as we expand into international markets and build the data foundation powering our online platform. What we need <ul><li>Design and optimise SQL queries, data models, and transformations to support analytics and operations.</li><li>Build internal dashboards and tools in React (Recharts.js / D3) to empower marketing, support, and product teams.</li><li>Develop and maintain data pipelines, CDC workflows, and high-scale datasets.</li><li>Integrate and support BI tools as our data stack evolves.</li><li>Work cross-functionally to understand business needs: acquisition, retention, segmentation and turn them into actionable metrics and insights.</li><li>3+ years experience </li></ul> What You Bring <ul><li>Deep expertise in SQL and relational database design.</li><li>Experience with React and at least one backend/full-stack language.</li><li>Understanding of data warehousing and orchestration tools.</li><li>Ability to work with large datasets in a high-traffic environment.</li><li>Strong collaboration skills and interest in the online gaming/entertainment domain.</li></ul> Nice to Have <ul><li>Experience with BI platforms.</li><li>Knowledge of marketing analytics, CRM, funnel analysis, or customer segmentation.</li><li>Ability to define KPIs and propose impactful dashboards.</li></ul> Feel free to apply here or message me directly.

Role Overview:We’re looking for experienced AI data engineers skilled in Python to collaborate with one of the world’s top Large Language Model (LLM) companies. Your work will directly help improve how AI models think, reason, and code. In this role, you’ll generate and evaluate high-quality data used to fine-tune and benchmark LLMs. You’ll design prompts, analyze model outputs, write Python solutions, and provide detailed feedback that guides model improvements. This is a unique opportunity to contribute to the next generation of AI systems—without needing to train or build the models yourself. You’ll:<ul><li>Write and maintain clean, efficient Python code for AI training and evaluation.</li><li>Evaluate and compare model responses as part of RLHF (Reinforcement Learning with Human Feedback).</li><li>Create and refine datasets for SFT (Supervised Fine-Tuning).</li><li>Develop reasoning-based feedback to enhance model accuracy and alignment.</li><li>Collaborate with cross-functional teams to ensure high-quality data and evaluations.</li></ul> Requirements:<ul><li>3+ years of strong Python development experience.</li><li>Solid understanding of testing, debugging, async programming, and software best practices.</li><li>Excellent written and verbal communication in English.</li></ul> Offer Details:<ul><li>Commitment: Minimum 20 hrs/week (options for 20, 30, or 40 hrs).</li><li>Time Zone: 4-hour overlap with PST.</li><li>Contract: 1-month contractor role (no paid leave).</li><li>Evaluation: 2 interview rounds (~75 mins total).</li><li>Start: Expected next week.</li></ul> Perks:<ul><li>100% remote work.</li><li>Collaborate with leading LLM and AI research teams.</li><li>Work on real-world AI challenges shaping the future of intelligent systems.</li></ul> About Turing:Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at <a>turing.com/referrals</a>, and earn money from your network.

Are you passionate about unlocking the power of data to drive innovation and transform businesses? Join our dynamic team as a Senior Data Engineer, where you'll lead the charge in crafting innovative solutions that leverage data for real-world impact. Collaborate with a team that values innovation, supports career growth, and fosters a collaborative and inclusive culture. We can offer great career progression opportunities, ability to be based anywhere across the UK, benefits which you can flex to meet your needs and training and development opportunities. What you'll be doing: <ul><li>Collaborating on business requirements, low-level designs, and technical specifications. </li><li>Developing, testing, and deploying data integration and reporting processes. </li><li>Mentoring and supporting junior colleagues, while promoting best practices. </li><li>Driving issue resolution during testing and deployment phases. </li><li>Sharing experiences and contributing to practice development through lessons learned and case studies. </li></ul>What you’ll bring: <ul><li>Expertise in data manipulation, transformation, and presentation. </li><li>Hands-on experience with data integration tools such as Azure Synapse, AWS Glue, or MS Fabric. </li><li>Proficiency in core data integration languages like SQL and Python. </li><li>Knowledge of data lakes, simulation, and warehousing technologies (e.g., Hadoop, Snowflake, AWS S3). </li><li>Familiarity with Artificial Intelligence and Machine Learning platforms (e.g., Azure AI, AWS Sagemaker). </li><li>Strong understanding of data quality, security, and compliance standards such as GDPR. </li><li>SME in data engineering capabilities like batch processing, data security, and data quality. </li><li>Experience in cloud-native delivery engineering using Kubernetes or microservices. </li></ul>If you are interested in this role but not sure if your skills and experience are exactly what we’re looking for, please do apply, we’d love to hear from you! Employment Type: Full-time Permanent. Location: UK wide Security Clearance Level: SC Internal Recruiter: Annecia Salary: up to £65,000 Benefits: 25 days annual leave with the choice to buy additional days, health cash plan, life assurance, pension, and generous flexible benefits fund. Although this role is advertised as full-time, we believe that flexibility at work can promote work/life balance, increase your motivation, reduce stress and improves performance and productivity. We support different ways of working and can offer a range of flexible working arrangements. So, if you’re interested and need to work flexibly, we encourage you to apply and talk to us about what might be possible. Loved reading about this job and want to know more about us? We support the UK Government to tackle today’s biggest challenges. We combine technical expertise and delivery capability with vision to accelerate change and reinvent the way that Public Services are designed and delivered. We work with energy and integrity to build intelligent, highly secure, joined-up solutions that make a difference to everyday lives. We’ve been helping Government to make a difference for 50 years, creating common systems and approaches, enabling government to work across multiple agencies and radically transform how Public Services are delivered. Empowering Government to make a difference to everyone, every day. We embrace difference as a source of creativity, innovation and competitive advantage and are striving to become a more diverse organisation. We welcome applications from people with a diverse variety of backgrounds and identities. We are committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. We have partnered with Vercida, the UK's largest diversity and inclusion focused careers site, where all our vacancies are available in an accessible format. If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability, who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.

We are looking for an experienced Senior Data Engineer/Architect to help design and implement a modern data lakehouse platform from scratch. This role combines hands-on engineering with strategic decision-making around scalable data solutions. ???? Responsibilities:<ul><li>Design and implement a greenfield data lakehouse architecture.</li><li>Build and optimize data models, schemas, and integration patterns.</li><li>Develop scalable data storage and processing solutions using Azure and open-source components.</li><li>Implement data ingestion pipelines (ETL/ELT) and high-performance query APIs.</li><li>Integrate the platform with enterprise systems, ensuring data consistency and quality.</li><li>Create technical documentation, establish standards, and define data governance policies.</li></ul> ✅ Requirements:<ul><li>At least 5 years of hands-on experience with Microsoft Azure data services.</li><li>Proven track record of delivering large-scale data projects using Azure / Databricks / Spark.</li><li>Proficiency with Microsoft Azure Data Platform (Synapse, Data Factory, SQL Databases, Data Lake).</li><li>Practical experience with Spark or other big data frameworks.</li><li>Excellent knowledge of SQL, including query optimization.</li><li>Skills in .NET Core.</li><li>Solid understanding of data modeling techniques and pipeline design (ETL/ELT).</li></ul> ???? We offer:<ul><li>100% remote work and flexible hours</li><li>Private healthcare & multisport card</li><li>Opportunity to build a greenfield data platform from the ground up.</li><li>Work with the latest cloud-based technologies.</li><li>High degree of independence and real impact on technology choices.</li></ul>

At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Team The Events team owns Algolia’s customer-facing Events platform, the entry point for sending user interaction data into our system. These events drive improvements in analytics, personalization, and search relevance for thousands of customers. We are continuing to expand and improve this existing system, which means you’ll play a critical role in onboarding to a mature product, helping a newly built team grow in confidence, and shaping the future of this high-volume, real-time data pipeline. The Role Will Consist Of As a Senior Data Engineer, you’ll help scale and evolve the backbone of Algolia’s Events platform. This means: <ul><li>Designing and maintaining reliable pipelines for ingesting and processing both real-time and batch data from diverse external sources (including Segment, Google Analytics, and direct customer integrations).</li><li>Owning and optimizing systems that run at massive scale, ensuring low-latency event delivery and high reliability.</li><li>Quickly getting up to speed with an established production system, and helping your teammates do the same.</li><li>Partnering with backend, frontend, and product teams to align technical decisions with customer-facing needs.</li><li>Contributing to architectural improvements that make our event ingestion platform more robust, efficient, and easy to extend.</li><li>Sharing knowledge across the team and mentoring new engineers to help them grow. </li></ul>You Might Be a Fit If You Have Must-haves <ul><li>Solid experience with data pipelines and event-driven architectures at scale.</li><li>Proficiency in Go or another backend language, with the ability to quickly adapt to new codebases.</li><li>Strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub.</li><li>Hands-on experience with BigQuery or similar data warehouses for analytics.</li><li>A track record of collaborating with cross-functional teams and contributing to production-critical systems. </li></ul>Nice-to-haves <ul><li>Familiarity with GCP and Kubernetes in production environments.</li><li>Exposure to frontend systems (React, Rails) and how they interact with backend data pipelines.</li><li>Experience integrating with customer-facing APIs or analytics connectors.</li><li>Background in onboarding to inherited systems and driving re-architecture where needed. </li></ul>Team’s current stack Go backend on GCP and Kubernetes, pipelines built with BigQuery and Pub/Sub, integrating with a React + Rails frontend. Flexible Workplace Strategy Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: <ul><li>GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.</li><li>TRUST - Willingness to trust our co-workers and to take ownership.</li><li>CANDOR - Ability to receive and give constructive feedback.</li><li>CARE - Genuine care about other team members, our clients and the decisions we make in the company.</li><li>HUMILITY - Aptitude for learning from others, putting ego aside. </li></ul>We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background. IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice We’ve Recently Seen An Increase In Recruitment Scams Targeting Job Seekers. To Help Protect Yourself, Please Keep The Following In Mind <ul><li>Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.</li><li>All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.</li><li>We’ll never ask for payments, purchases, or financial details during the hiring process. </li></ul>READY TO APPLY? If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

Primary Responsibilities:Design and implement automated test suites for AI/ML workflows that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner using AIAnalyze clinical data and determine the best designs on how to verify the correct processing of this dataPerform functional, regression, integration, and system testing to validate software qualityIdentify, create, and track reproducible defects using bug-tracking tools, collaborating with developers for resolutionConduct performance and load testing to identify bottlenecks and measure throughput Integrate automated tests to our AWS and GCP accounts to achieve continuous integration (CI/CD)As an advocate for product quality, ensure that team members adopt agile SCRUM methodologies, perform unit tests, code reviewsReview and contribute to engineering specifications to ensure that each feature/user story can be tested in an automated fashionWrite integration test plans with end-end test automation as a goalMentoring a couple of mode Junior engineers who may write test casesDesign, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications:Master’s degree in computer science, Engineering, or a related technical field4+ years of work experience in AI/ML engineering with solid proficiency in Python programming2+ years of experience as an SDET using test automation tools like Selenium, Cypress or similar toolsExperience in at least one project using API testing tools like Selenium, Pytest, Postman or similarDelivered at least one product hosted on a cloud platform (AWS, GCP, or Azure) Preferred Qualifications: AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAMExperience in deploying generative AI systems (LLMs, Prompts, Agentic systems)Experience with Rally Experience integrating with healthcare data systems and working with clinical data formats Solid communication and collaboration skills, with the ability to thrive in fast-paced and ambiguous environmentsSolid analytical skills and ability to debug issues in complex systemsExperience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation, GitHub actions, Azure DevOps) *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Locations : San Jose, CA/Durham, NC/ Cincinnati, OH/ Louisville, KT Experience in developing and proficient in SQL and knowledge on Snowflake cloud computing environmentsKnowledge on Data warehousing concepts and metadata management Experience with data modeling, Data lakesmulti-dimensional models and data dictionariesHands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning. Experience in query performance tuning and cost optimization in a cloud data platformKnowledge in Snowflake warehousing, architecture, processing and administration , DBT , Pipeline Hands-on experience on PLSQL Snowflake•Excellent personal communication, leadership, and organizational skills.•Should be well versed with various Design patternsKnowledge of SQL database is a plusHands-on Snowflake development experience is must Work with various cross-functional groups, tech leads from other tracksNeed to work with team closely and guide them technically/functionally Must be a team player with good attitude

Location: Noida, Full Time / On Site About Us:We are an early stage SaaS / AI startup building building what we are calling Enterprise Revenue Fabric platform. Job Description:As a Data Engineer, you will play a critical role in building and maintaining the data infrastructure that powers our platform. You will work alongside a team of engineers, data scientists, and product managers to create scalable, real-time data pipelines, ensuring data governance, integrity, and compliance. You will help drive the evolution of our Cognitive Data Fabric and ensure that data is accessible, reliable, and ready for AI and analytics.Key Responsibilities:<ul><li>Design, implement, and optimize real-time and batch data pipelines for data ingestion, transformation, and storage across multiple sources (CRM, billing, etc.).</li><li>Build and manage data governance frameworks, including Row-Level Security (RLS), data encryption, and auditability to ensure compliance with industry standards.</li><li>Work with AI and machine learning teams to integrate AI-driven models into data pipelines, ensuring that the platform remains AI-ready.</li><li>Develop and maintain schema registries, metadata management, and data catalogs using tools like OpenMetadata and Neo4j.</li><li>Monitor and ensure data quality across multiple modules and maintain real-time data freshness (≤1 hour) through automated data workflows.</li><li>Utilize Azure Fabric, Kafka, and Event Hubs for building scalable, high-performance data streams.</li><li>Collaborate with cross-functional teams to integrate data sources and ensure seamless data flow and governance across the platform.</li><li>Ensure data security and compliance, including PII masking, GDPR/DPDP compliance, and multi-tenancy isolation.</li><li>Develop tools to enable automated data pipelines using dbt, Airflow, and other DataOps tools.</li><li>Optimize data processes and workflows to improve performance, reduce latency, and minimize cost.</li></ul>Skills & Qualifications:<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.</li><li>Proven experience in data engineering, with expertise in data pipeline architecture, ETL processes, and data governance.</li><li>Strong experience with cloud platforms (Azure preferred) and technologies like Azure Data Fabric, PostgreSQL, Kafka, Event Hubs, and Redis.</li><li>Proficiency in data modeling, schema management, and working with canonical schemas.</li><li>Solid understanding of AI/ML pipeline integration and working with tools like pgvector for semantic search and vector databases.</li><li>Experience with DataOps practices, CI/CD, and tools like Airflow, dbt, and Terraform for automation.</li><li>Hands-on experience in managing data security, including RLS, BYOK/CMK encryption, and compliance (e.g., GDPR, SOC2).</li><li>Familiarity with metadata management and tools like Neo4j or OpenMetadata.</li><li>Ability to work with large-scale distributed systems and handle high-volume, low-latency data workflows.</li><li>Strong programming skills in languages such as Python, SQL, and familiarity with frameworks like FastAPI or Node.js is a plus.</li></ul>

Sede: Milano / Roma / Torino Perché assistere al cambiamento, quando puoi guidarlo? In Accenture avrai l’opportunità di portare la tua visione innovativa al centro della trasformazione digitale, collaborando con alcune delle aziende più influenti al mondo per ridefinire interi settori industriali.Entrando in Industry X, sarai protagonista di progetti che rivoluzionano il modo in cui i prodotti vengono progettati, costruiti e connessi. Contribuirai a creare soluzioni che plasmano il futuro dell’industria. Cosa faraiIn questo ruolo sarai responsabile della progettazione e dell’industrializzazione di Data Platform avanzate per sistemi embedded e IoT, lavorando su architetture moderne e scalabili.Ti occuperai di:<ul><li>Industrializzare Data Platform in contesti embedded, centralizzati, distribuiti e federati.</li><li>Introdurre data contracts, data quality by design (SLA/SLO), schema registry/CDC, governance, privacy e controllo costi su architetture Lakehouse/Mesh (Delta/Iceberg, Kafka, dbt, Airflow).</li><li>Progettare e gestire pipeline batch e streaming (dbt, Spark/PySpark, CDC, Kafka) e definire formati dati ottimali (Parquet, Delta, Iceberg).</li><li>Realizzare modelli dati (relazionali e domain-driven), gestire metadata e validare la qualità dei dati.</li><li>Collaborare con team multidisciplinari (DevOps, Agile, MBSE, Test Automation, Generative AI) per sviluppare soluzioni integrate.</li><li>Contribuire alla creazione di Smart Factory e prodotti intelligenti e connessi.</li></ul> Chi cerchiamo Hai esperienza in ambito data engineering e possiedi competenze solide in:<ul><li>Modellazione dati, data contracts, metadata management e data quality by-design.</li><li>Pipeline batch/streaming (dbt, Spark/PySpark, CDC, Kafka) e formati dati (Parquet, Delta, Iceberg).</li><li>Architetture Lakehouse/Mesh, governance, privacy e schema registry.</li><li>Protocolli embedded/IoT (MQTT, Kafka, WebSocket, AMQP, HTTP, CAN, UART, SPI, I2C) e networking (TCP/UDP/IP, Bluetooth Low Energy).</li><li>Buona conoscenza della lingua inglese.</li><li>Laurea in discipline STEM.</li></ul> Perché unirti a noi<ul><li>Lavorerai su progetti innovativi con tecnologie all’avanguardia.</li><li>Avrai un impatto reale sulla trasformazione digitale dell’industria.</li><li>Collaborerai con team globali e multidisciplinari.</li><li>Potrai crescere professionalmente in un ambiente che valorizza innovazione, qualità e sperimentazione.</li></ul>

¿Data Engineer con experiencia en SQL y BigQuery? ¿Buscas seguir creciendo en las mejores condiciones y con la mayor cercanía y flexibilidad? ¡Esto te interesa! En VASS, compañía líder en soluciones tecnológicas, buscamos un profesional con sólida experiencia técnica en el ámbito de la ingeniería de datos, que pueda asumir responsabilidades clave en la integración, mantenimiento y evolución de plataformas de datos. ¿Qué valoramos?<ul><li>Experiencia mínima de 3 años como Data Engineer.</li><li>Fuertes conocimientos de SQL para desarrollar consultas complejas y procedimientos almacenados.</li><li>Experiencia con BigQuery y SQL Server.</li><li>Valorable experiencia con Databricks y conocimiento de herramientas de visualización del dato como PowerBI y Tableau. No será tu día a día, pero colaborarás estrechamente con el equipo especializado en Data Analysis.</li></ul> ¿Qué ofrecemos?<ul><li>Un ambiente de trabajo colaborativo e inclusivo.</li><li>Participar en proyectos de alto impacto.</li><li>Modelo híbrido de trabajo con presencialidad de 2 días a la semana y flexibilidad horaria.</li><li>Plan de Carrera y Certificaciones: Buscamos el crecimiento general y eso conlleva apoyar e incentivar el crecimiento de nuestros equipos a nivel laboral y personal. ????????</li></ul> Si eres una persona proactiva, con mentalidad analítica y te motiva conectar el mundo del dato con las necesidades del negocio, ¡queremos conocerte! ✨

Question	Topic	Difficulty	Ask Chance
Address Schema	Data Modeling	Medium	Very High
Bicycle Rental Data Pipeline	Batch & Stream Processing	Medium	Very High
Swipe Payment API	Data Modeling	Easy	High