Senior Data Engineer

4 days ago


Pune, India Globner Consulting LLP Full time

Responsibilities : - Design, develop, and maintain scalable data pipelines using Python and modern data engineering tools.- Understanding of banking data models, financial reporting, and regulatory compliance.- Integrate data from legacy banking platforms into modern data lakes and warehouses.- Collaborate with business analysts, architects, and operations teams to understand core banking workflows and data requirements.- Design, build, and maintain scalable and reliable data pipelines using Azure Data Factory, Databricks, Synapse (Azure SQL DW), and Azure Data Lake.- Perform data analysis and transformation using PySpark on Azure Databricks or Apache Spark.- Design and implement data models optimized for storage and various query patterns.- Work with structured, semi-structured, and unstructured data.- Utilize various database technologies including Traditional RDBMS, MPP, and NoSQL.- Ensure compliant handling and management of data.- Experience in building end-to-end data pipelines in a cloud environment.- Mentor junior engineers and contribute to the development of best practices and reusable frameworks.Skills Expected : - 8+ years of relevant IT experience in the BI/DW domain with hands-on experience on the Azure modern data platform.- Strong knowledge and experience with the Python programming language- Experience using version control systems like Git, bitbucket.- Experience in data analysis and transformation using PySpark on Azure Databricks or Apache Spark.- Good knowledge of Distributed Processing using Databricks or Apache Spark.- Experience in creating data structures optimized for storage and various query patterns.- Experience of integrating Unity Data Catalog with the Databricks and registering data assets etc.- Understanding of CI/CD pipelines.- Knowledge of Agile/Scrum methodologies. (ref:hirist.tech)


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