We are looking for a skilled Data Engineer with strong expertise in Python programming and hands-on experience with Azure Data Services , including Synapse , Data Lake , App Logic , and DevOps integration . The ideal candidate will have a strong understanding of data warehousing , MS SQL/PLSQL , and building scalable data pipelines and solutions on the cloud.
Key Responsibilities:
Develop and optimize scalable data pipelines using Python and Azure Data Services .Design and implement end-to-end data solutions using Azure Synapse Analytics , Data Lake , and Azure Logic Apps .Build and maintain efficient data models, transformations, and workflows supporting business intelligence and analytics.Integrate CI/CD pipelines with Azure DevOps for automated deployments and version control.Work with MS SQL Server , T-SQL , and PL/SQL to manage structured data in a data warehouse environment.Implement best practices for data ingestion, transformation, quality, and security.Collaborate with data scientists, analysts, and business users to understand data needs and deliver reliable solutions.Monitor performance and troubleshoot issues across the data platform infrastructure.
Technical Skills
Required Skills and Qualifications:
Strong proficiency in Python for data engineering tasks (ETL/ELT, automation, data processing).
Solid experience with Azure Data Services : Azure Synapse Analytics, Azure Data Lake Storage (Gen2), Azure Logic Apps, Azure DevOps Good understanding of data warehouse design concepts (star/snowflake schema, fact/dimension tables).
Advanced skills in SQL and PL/SQL for writing queries, stored procedures, and optimizing performance.Experience integrating data from multiple structured and unstructured sources.Familiarity with data governance, security, and compliance in a cloud environment.
Nice-to-have skills
Preferred Qualifications:
Microsoft Azure certifications (e.g., DP-203: Azure Data Engineer Associate ).
Experience with version control systems like Git .
Knowledge of data orchestration tools like Azure Data Factory is a plus.
Exposure to Agile/Scrum methodologies.
Qualifications
4-6 years of work experience in relevant field
B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse DeveloperEmployement Type: Full time