Job Position: Azure Cloud DB EngineerJob Type: Full-TimeLocation: Kolkata, INExperience: - 3 to 8+ YearsMust Have: - Azure DATA Factory; Azure SQL; Azure Databricks; Azure Cosmos DB; PySpark; Python Responsibilities: Data Pipeline Development:<ul><li>Design and implement data integration workflows using Azure Data Factory to ingest, transform, and load data from various sources.</li><li>Develop and manage ETL processes to ensure data quality and integrity across platforms.</li></ul> Database Management:<ul><li>Deploy and maintain Azure SQL Databases and Azure Cosmos DB, ensuring optimal performance and reliability.</li><li>Monitor and troubleshoot database performance issues, applying best practices for tuning and scaling.</li></ul> Data Engineering:<ul><li>Utilize Azure Databricks for big data processing, leveraging PySpark to analyze and transform large datasets.</li><li>Develop and maintain data models and architecture that support analytics and reporting needs.</li></ul> Programming and Scripting:<ul><li>Write efficient Python scripts to automate data processing tasks and enhance data workflows.</li><li>Create reusable code libraries and documentation to streamline data operations and facilitate collaboration.</li></ul> Collaboration and Support:<ul><li>Work closely with data analysts, data scientists, and application developers to support data-driven projects.</li><li>Provide technical support for database-related issues and assist in troubleshooting data pipeline failures.</li></ul> Best Practices and Security:<ul><li>Implement data governance and security policies to ensure compliance with industry standards.</li><li>Stay up-to-date with emerging technologies and best practices in cloud database management and data engineering.</li></ul> Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field.

About Tredence:Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 1,800-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth.·Tredence recently closed a USD 175 million Series B <a>funding</a>, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.·Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in Kolkata and a few tier 2 cities in India. In 2023, we also plan to hire more than 1000 employees across markets.·Tredence is a <a>Great Place to Work</a> (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance.· At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, <a>Beyond Possible</a> This position requires someone with good problem solving, business understanding and client presence.Overall professional experience of the candidate should be atleast 5 years with a maximum experience upto 15 years. The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects. Role Description: ● Developing Modern Data Warehouse solutions using Databricks and Azure Stack● Ability to provide solutions that are forward-thinking in data engineering and analytics space● Collaborate with DW/BI leads to understand new ETL pipeline development requirements.● Triage issues to find gaps in existing pipelines and fix the issues● Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs● Drive technical discussion with client architect and team members● Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications:● Bachelor's and/or master’s degree in computer science or equivalent experience.● Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture● Should have hands-on experience in SQL, Python and Spark (PySpark)● Experience in building ETL / data warehouse transformation processes● Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot● Databricks Certified Data Engineer Associate/Professional Certification (Desirable).● Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects● Should have experience working in Agile methodology● Strong verbal and written communication skills.● Strong analytical and problem-solving skills with a high attention to detail. Mandatory SkillsAzure Databricks, Pyspark, Azure Data Factory, Azure Data Lake. Job Location - Kolkata Experience Level - Senior Data Engineer ( 5 to 8 years ) , Lead Data Engineer ( 9 to 12 years ) Expected Joining Time - Immediate to 30 days.

Dear Candidate,Greetings from TCS Human Resources Team!!Job Role: Azure Data EngineerJob Locations: KolkataExperience Range: 5 to 8 yearsJob Description:-<ul><li>4+ years of relevant experience in Pyspark and Azure Synapse Analytics/Azure Databricks. </li><li>Proficiency in integrating, transforming, and consolidating data from various structured and unstructured data sources. </li><li>Good experience in SQL or native SQL query languages. · Strong experience in implementing synapse analytics/Databricks notebooks using Python/Pyspark. </li><li>Good experience in Azure Data Factory, ADLS, Storage Services, Serverless architecture, Azure functions. </li><li>Advanced working knowledge in building robust data pipelines using ADF. </li><li>Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management. </li><li>Exposure to basic issues in working within a Cloud (Azure) environment. </li><li>Advanced working SQL knowledge and experience working with relational/non-Relational databases, query. </li><li>Exposure to Jira and Confluence required. </li><li>Experience in working in an Agile project management environment. · </li><li>A successful history of manipulating, processing and extracting value from large, disconnected datasets. </li><li>Build data pipeline infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud based relational or non-relational databases and/or scripting languages like Perl/Python </li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li></ul> Interested candidates kindly forward your updated resume to shrankhala.gupta@tcs.com with the following details:Current & Preferred Location:Current Company:Total & Relevant Experience:Current CTC and Expected:Notice Period:Available for Walkin Interview on 16th Nov, Saturday:-Location:- Tata Consultancy Services, Gitanjali Park Plot-II/F/3 Action Area -II, Gitanjali Rd, International Financial Hub(CBD), Newtown, Kolkata Thanks & Regards,Shrankhala Gupta

Role -Azure Data EngineerLocation - Kolkata and Hyderabad.Experience - 6 to 9 Years Job description Desired Competencies (Technical/Behavioral Competency)Must-Have<ul><li>Sound skills and hands on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse Azure Blob, Azure Storage Explorer</li><li>Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc.</li><li>Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL and Synapse</li><li>Good technical knowledge in SQL Server BI suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI</li><li>Designing & building data architectures including the design & set-up of scalable (big) data lakes (full cloud or hybrid cloud), scheduled transformations & data governance</li></ul>Good-to-HaveAzure Data Engineer Certification / Data Architect Certification

Role- Azure Data EngineerLocation- Pan IndiaExperience- 5 TO 8 YRS JD- <ul><li>3+ years of relevant experience in Pyspark and Azure Databricks.</li><li>Proficiency in integrating, transforming, and consolidating data from various structured and unstructured data sources.</li><li>Good experience in SQL or native SQL query languages.</li><li>Strong experience in implementing Databricks notebooks using Python.</li><li>Good experience in Azure Data Factory, ADLS, Storage Services, Serverless architecture, Azure functions.</li><li>Advanced working knowledge in building robust data pipelines using ADF</li><li>Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management.</li><li>Exposure to any cloud based Datawarehouse like Snowflake.</li><li>Exposure to basic issues in working within a Cloud (Azure) environment. ·</li><li>Advanced working SQL knowledge and experience working with relational/non-Relational databases, query.</li><li>Exposure to Jira and Confluence required.</li><li>Experience in working in an Agile project management environment.</li><li>A successful history of manipulating, processing and extracting value from large, disconnected datasets.</li><li>Build data pipeline infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud based relational or non-relational databases and/or scripting languages like Perl/Python</li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li></ul>

About the Role: We are hiring a Cloud & Streaming Engineer with expertise in Azure DevOps, Confluent Kafka, Apache Flink, GraphQL, and Redis. In this role, you will design, implement, and manage cloud-based infrastructure and real-time data streaming applications, ensuring high availability, scalability, and optimal performance. Responsibilities: - Design and manage CI/CD pipelines using Azure DevOps.- Deploy and maintain Azure Kubernetes Service (AKS), Blob Storage, APIM, PostgreSQL, and Cosmos DB.- Manage and monitor Confluent Kafka clusters for real-time data streaming.- Develop and maintain Apache Flink streaming applications.- Deploy and manage Apollo GraphQL for real-time messaging and data streaming.- Deploy and optimize Redis instances for caching and data storage.- Collaborate with development teams to integrate Redis and GraphQL effectively.- Implement containerized solutions using Docker and Kubernetes.- Ensure cloud security best practices and governance across infrastructure. What We're Looking For: - Hands-on experience with Azure DevOps for CI/CD and cloud services.- Strong background in Kafka and Flink for real-time streaming.- Experience with Apollo GraphQL and Redis for data storage and optimization.- Familiarity with Docker, Kubernetes, and cloud security.- Knowledge of agile methodologies and tools like Jira or Azure Boards. Qualifications: - Bachelor’s degree in Computer Science or related field (or equivalent experience).- Proven experience in deploying and managing cloud-based solutions. Experience Level: Mid Level (5-6 Years)

Data Engineer Jobs in Kolkata, West Bengal

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Kafka Streaming Data Engineer
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Data Engineer Jobs in Kolkata, West Bengal

Data EngineerNovember 18, 2024

Senior Data EngineerNovember 12, 2024

Azure Data EngineerNovember 12, 2024

Azure Data EngineerNovember 6, 2024

Azure Data EngineerOctober 27, 2024

Kafka Streaming Data EngineerOctober 27, 2024