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

Ais Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Ais? The Ais Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Ais Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Ais.</li>
<li>Practice real Ais 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 Ais Data Engineer interview.


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

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

Overview

Ais Data Engineer Salary

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.

Ais Data Engineer Interview Process

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

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

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

Ais Data Engineer Interview Questions

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities. We are seeking an experienced Business Analyst to support the collection and transformation of business requirements into technical requirements, assist in the development of training content, and provide overall project management support. The ideal candidate will have a strong background in business analysis within data product development, as well as experience with Agile methodologies and cloud technologies. This role requires a keen understanding of data pipelines, data management techniques, and the ability to communicate technical requirements effectively. Key Responsibilities: <ul> <li>Collaborate with stakeholders to elicit, document, and manage business requirements, transforming them into technical requirements for data product development. </li> <li>Manage and prioritize the product backlog, ensuring alignment with project goals and stakeholder expectations. </li> <li>Develop use cases, create test scenarios, and manage test executions and resolutions to verify that delivered solutions meet business requirements. </li> <li>Provide project management support, including work verification and coordination with cross-functional teams to ensure successful delivery of data products. </li> <li>Develop training content and other knowledge-sharing resources for agency customers, focusing on data-related topics such as business intelligence tools, data literacy, and data visualization. </li> <li>Create interactive data visualizations using business intelligence tools like Power BI, Cognos, or Tableau. </li> <li>Capture and communicate technical requirements clearly and effectively to both technical and non-technical stakeholders. </li> <li>Support Agile Software Development Lifecycle (SDLC) processes on cloud technologies, with a focus on iterative development and delivery. </li> <li>Utilize Azure DevOps for tracking and managing project activities and progress. </li> </ul>Qualifications: <ul> <li>Experience: 3+ years of business analysis experience in data product development or data modernization initiatives. Clearance: Ability to obtain and maintain a Public Trust clearance. </li> <li>Technical Skills: Foundational understanding of data pipelines, data management techniques, data warehousing, cloud infrastructure, data analysis, or data science. </li> <li>Agile Expertise: Experience working in an Agile environment, particularly in the context of data product development. </li> <li>Tool Proficiency: Experience using business intelligence tools (e.g., Power BI, Cognos, Tableau) to develop interactive data visualizations. </li> <li>Project Management: Experience in project management, including backlog management, use case development, and test scenario creation. </li> <li>Communication: Strong ability to capture and communicate technical requirements effectively and clearly to diverse audiences. </li> <li>Training & Knowledge Sharing: Experience creating training content and knowledge-sharing resources on data-related topics. </li> </ul>Preferred Skills: <ul> <li>Experience with Azure DevOps for project tracking and management. </li> <li>Strong understanding of Agile Software Development Lifecycle processes, particularly in cloud-based environments. </li></ul> Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.IntroductionAs a Senior Business Analyst, you will be using Agile software methodologies to identify and capture an accurate case analysis to our client. You will be helping maintain and develop systems and models with your advanced skills.What You'll Be DoingElicit, identify, and capture functional and non-functional requirements through systems and use case analysisCapture and transform stakeholder needs, expectations, constraints, and interfaces into customer features and requirementsDevelop system context models, use case models, user interface storyboards, business process flow models, and domain modelsWrite use case specificationsIdentify and specify business rules and map rules to use casesMockup UI designs in Visio, VS.NET, or other UI prototyping toolsDefine an appropriate set of requirements definition and management tasks and estimate the work for their tasks and backlog itemsProvide support for review of requirements compliance and requirements management best practices and artifactsLocation and Travel DetailsThis is a remote position with occasional travel once (if needed).Security Clearance and Citizenship RequirementsMust be able to obtain and/or maintain Secret Clearance.Required For This OpportunityStrong facilitation and negotiation skills Excellent oral and written communication skills Agile Product Management/Product Owner experience either direct or in supporting business analyst role Product/System requirements elicitation, requirements definition and requirements management experience Prior Experience working on Cloud application development projectsHands on experience with JIRA or Azure DevOps or similar agile project management/requirements management/product management toolsExperience working on Agile teams using Scrum/Kanban agile methods Experience with mockup UI designs, report designs and/or another reporting toolWorking knowledge of UML based modeling toolsNice to Have SkillsExperience with Scaled Agile Framework (SAFe) for Program Increment (PI) PlanningKnowledge of Hospitality industry domain strongly preferred SAFe PM/PO, and CSM certifications strong preferredExperience in custom application development on the AWS, Microsoft technology platform, Microsoft Office, and development tools to create innovative business solutions is strongly preferredApplied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.

Position Title: Data Engineer / Analyst Direct Hire Remote - EST only Essential Functions:<ul><li>Meet with stakeholders to determine data requirements.</li><li>Develop reports, dashboards, and analytics to improve organizational outcomes.</li><li>Use ETL tools to extract, transform, and load data.</li><li>Analyze data for trends and patterns; prepare reports for management.</li><li>Collaborate with teams to identify process improvements and data governance strategies.</li><li>Troubleshoot and resolve data issues promptly. </li></ul>Qualifications:<ul><li>BS in Computer Science, Data Analytics, or Business Analytics.</li><li>2+ years of experience in a related field, preferably in HVAC or similar industries.</li><li>Proficiency in SQL, ETL processes, and data accuracy.</li><li>Experience with Power BI, SSRS, and ETL tools.</li><li>Strong problem-solving skills and attention to detail.</li><li>Experience with BuildOps, SageIntacct, ADP, and data sourcing from databases and APIs is a plus.</li></ul>Apply now!

Data Engineer - Energy Trading - Houston We are working with a leading energy trading firm who are passionate about leveraging cutting-edge technology that are seeking a motivated Data Engineer to be responsible for building and maintaining their market data analytics for their trading team. You will work closely with quantitative analysts, data scientists and software engineers to ensure that the data pipelines are robust, scalable and efficient to enhance and support systematic trading activities. Your skills/responsibilities:<ul><li>Have hands on Python software development experience</li><li>Design, develop, and maintain scalable data pipelines to support algorithmic trading strategies.</li><li>Implement data quality checks, monitoring, and alerting systems to ensure data integrity.</li><li>Collaborate with Quant teams to understand data requirements and optimise data workflows.</li><li>Automate data ingestion, processing, and storage processes to support real-time and batch trading systems.</li><li>Work with AWS cloud platforms and tools to manage data infrastructure and ensure high availability.</li><li>Develop and maintain CI/CD pipelines for data-related code and infrastructure.</li></ul> This role is 5 days a week in Houston office Competitive salary + Lucrative Front Office Bonuses Please submit your CV for immediate consideration. Candidates must be a US citizen or Green Card holder

GCP Data Engineer Contract Irving, TX (Hybrid 3-4 days ) $60-65/hr. on C2C (Flexi to 2 -3 Dollar for 14+ Years of Candidates) Years of Experience: 12+ Years of Experience SQL: 7-10 yrs Python/Pyspark: 7-10 yrs GCP, Big Query, Cloud DataProc: 5 yrs Soft Skill: 10 yrs Technical Skills : SQL, Python, PySpark, GCP, BigQuery, Cloud Dataproc, Cloud Composer, Cloud Dataflow Technical Skills : Teradata/Oracle, Informatica/ AbInitio/ Datastage, Hadoop, Hive, Apache Spark, Cloud Pub/Sub, Cloud Spanner, Cloud SQL, Data Fusion Roles & Responsibilities :<ul><li>Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud.</li><li>Work with data team to efficiently use Google Cloud platform to analyze data, build data models, and generate reports/visualizations.</li><li>Integrate massive datasets from multiple data sources for data modelling.</li><li>Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management.</li><li>Design pipelines and architectures for data processing. Create and maintain machine learning and statistical models. Extract, Load, Transform, clean, and validate data.</li><li>Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.</li><li>Minimum of 7 year of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Python, SQL etc.</li><li>Minimum 7 year of hands-on GCP experience with a minimum of an end to end solution designed and implemented at production scale.</li></ul>

Data Engineer Location: Atlanta, GA (Hybrid)Position Type: Contract, W2 (September 2024 - April 2025)$55-$62/hour About Us:Our Energy and Utilities client is a leading provider of reliable and sustainable energy solutions. We are committed to innovation and efficiency in every aspect of our operations. As part of our continued growth and digital transformation efforts, we are seeking a skilled Data Engineer to join our team on a contract basis. Position Overview:The Data Engineer will play a critical role in managing and optimizing data pipelines, ensuring the reliability and scalability of our data architecture. This role involves working closely with cross-functional teams, including IT, data science, and business units, to support data-driven decision-making processes. The ideal candidate will have a strong background in data engineering within the energy and utilities sector. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable data pipelines to collect, process, and analyze large datasets from various sources.</li><li>Data Integration: Integrate data from multiple sources, ensuring data consistency, quality, and availability for analytical and operational needs.</li><li>Data Modeling: Develop and optimize data models to support efficient storage, retrieval, and analysis of data.</li><li>ETL Processes: Implement and manage ETL (Extract, Transform, Load) processes to ensure timely and accurate data delivery.</li><li>Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.</li><li>Data Quality: Monitor and improve data quality, implementing best practices for data governance and security.</li><li>Performance Optimization: Optimize database performance and query execution, ensuring the system meets performance standards.</li><li>Documentation: Create and maintain detailed documentation of data engineering processes, workflows, and systems.</li></ul> Qualifications:<ul><li>Education: Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.</li><li>Experience:</li><li>Proven experience as a Data Engineer, preferably within the energy and utilities industry.</li><li>Strong experience with SQL and NoSQL databases, data warehousing solutions, and ETL tools.</li><li>Proficiency in programming languages such as Python, Java, or Scala.</li><li>Familiarity with cloud platforms like AWS, Azure, or Google Cloud.</li><li>Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.</li><li>Skills:</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong understanding of data structures, algorithms, and data architecture best practices.</li><li>Ability to work collaboratively in a fast-paced environment.</li><li>Effective communication skills, with the ability to translate technical concepts for non-technical stakeholders.</li></ul>

Roles & ResponsibilitiesData Management and Storage:Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.Ensure scalability, performance, and cost-effectiveness.Data Integration and ETL (Extract, Transform, Load):Develop and implement data integration processes using Azure Data Factory.Extract data from various sources, transform it, and load it into data warehouses or data lakes.Big Data and Analytics:Utilize big data technologies such as Apache Spark.Create data processing workflows and pipelines to support data analytics and machine learning applications.Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.Monitor and optimize data pipelines and database performance to ensure data processing efficiency.Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.Document data engineering processes, data models, and pipelines to ensure transparency and maintainability. Bachelor's degree Computer Science or a related field.5+ of experience in building data and analytics platform focused on Azure data and analytics solutions.Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:Software development and scripting languagesETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).Knowledge of data modeling and data warehousing concepts.Excellent problem-solving and troubleshooting abilities.Attention to detail and commitment to data accuracy.Experience with cloud-based data migration.Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.3+ years of programming experience in Python/Pyspark. Knowledge of Jira, Confluence, SAFe development methodology & DevOps

Senior Data Engineer Full-Time Dallas, TX Hybrid role. Must be in Dallas office up to 2x per week. Compensation DOE: Up to $140K No sponsorship offered. Do to the sensitive nature of this position which involves handling classified information, U.S. Citizenship is required. Career Transitions is supporting a dynamic and innovative organization that is hiring a Senior Data Engineer for their operation. Senor Data Engineer Responsibilities:<ul><li>Design, develop, and maintain robust and scalable data pipelines and architectures.</li><li>Extract, transform, and load (ETL) data from various sources into data warehouses and data marts.</li><li>Utilize artificial intelligence techniques (LLM, SLM, ML) to build predictive models and extract valuable insights from data.</li><li>Collaborate with data scientists, analysts, and business stakeholders to understand their requirements and deliver data-driven solutions.</li><li>Optimize data pipelines for performance and efficiency.</li><li>Ensure data quality and integrity throughout the data lifecycle.</li><li>Stay up-to-date with the latest trends and technologies in the data engineering field.</li></ul> Senor Data Engineer Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Engineering, or a related field.</li><li>Minimum of 5 years of experience as a Data Engineer or a similar role.</li><li>Strong expertise with relational databases (e.g., PostgreSQL, MySQL, Oracle).</li><li>Proven experience in data transformation and manipulation using SQL and other tools.</li><li>Hands-on experience with artificial intelligence techniques (LLM, SLM, ML).</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration skills.</li></ul> Benefits:<ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on challenging and innovative projects.</li><li>Collaborative and supportive work environment.</li><li>Professional development and growth opportunities.</li></ul> Send resume to Brian Hulecki Career Transitions: Find Your Dream Job or Hire the Best Talent Career Transitions is a leading recruiting agency that specializes in helping employers find their next critical hire and job seekers find their dream job. Our team of experienced national network recruiters are dedicated to finding you the perfect match for your open position or helping you find the right job for your skills and interests. We offer a variety of services, including:<ul><li>Recruitment: We match talent with open jobs.</li><li>Contract staffing: We place technical and exempt professionals in temporary or contract assignments that can become full-time positions.</li><li>Outplacement: We provide terminated or laid off employees with tools to be competitive in the job market.</li><li>Career management: We help you develop your career and reach your goals to be the next leader.</li></ul> Career Transitions is committed to providing you with a high-quality talent acquisition experience. Our diverse candidate database and extensive recruiting experience reflects our commitment to match qualified candidates to employers' open positions. We work diligently to ensure that you receive efficient and effective services. We specialize in connecting employers with qualified technical and exempt professionals in many fields, ranging from accounting and finance to engineering and technology, and human resources to sales and marketing. We are also dedicated to upholding the values of diversity, equity, and inclusion (DEI), IS&G, and ESG initiatives with our customer. We are an equal opportunity employer and provide support for veterans and people with disabilities. Choose Career Transitions contingency, retained, or contract talent acquisition services to find your next hire or dream job.Visit our website today to learn more about how we can help you.

Senior Data Engineer Company Overview: At Roots, our mission is to make work more human. We are developing fully autonomous, AI-powered Digital Coworkers that streamline tedious and repetitive tasks for the enterprise. By tackling core challenges in natural language understanding and computer vision, we are building an automation product that embodies the future of work. Our platform makes automation accessible to everyone, enabling users to generate automations by describing tasks in simple English, while solving complex business problems with enterprise-grade results and performance. Harnessing the power of AI, machine learning, and analytics on our data is fundamental to our business. Our production processes capture vast amounts of data, which feed directly into our training and analytics pipelines. As this data continues to grow, we need a data engineer to design and build the data architecture that underpins our AI systems and supports our evolving needs for reporting and business analytics. At Roots, we are committed to building a team of talented individuals who share our love for innovation and problem-solving. We encourage curious minds from a wide array of disciplines and backgrounds to apply. Responsibilities: <ul><li>Collaborate with stakeholders across engineering, research, product, sales, and marketing to capture their data production workflows. </li><li>Design and build ETL pipelines or similar methodologies to merge and refine data into a centralized data lake, optimizing it for analytics, reporting, and model training. </li><li>Implement de-identification techniques to protect sensitive information. </li><li>Build, monitor and maintain data infrastructure, ensuring reliability, performance, scalability, and cost-effectiveness. </li><li>Ensure security, integrity, and compliance of data according to industry standards </li></ul> Qualifications:<ul><li>4+ years of experience as a data engineer. </li><li>Expertise in ETL scheduling tools like Airflow, Prefect, Luigi, or comparable frameworks. </li><li>Proficiency in Python. </li><li>Experience in working with databases, data warehouses, and data lakes. </li><li>Experience with DataBricks, Snowflake, or similar data platforms </li><li>Strong written and verbal communication skills, with a particular emphasis on the written word. We greatly appreciate public articles or blogs that showcase writing skills. </li><li>Ability to work independently, prioritize tasks, and manage multiple projects simultaneously in a fast-paced and dynamic environment. </li></ul> As a startup, Roots Automation offers a high-paced environment with ample growth and learning opportunities across multiple disciplines.

Ais Data Engineer Interview Guide

Overview

Ais Data Engineer Salary

Ais Data Engineer Interview Process

Ais Data Engineer Interview Questions

Ais Data Engineer Jobs