Experience in Python, SQL, PostgreSQL, MS SQL Server, ETL development, Data Pipelines, API-based data integration, Data Cleaning, Data Modelling, Data Warehousing, Hadoop/Spark/PySpark, and BI data preparation. Knowledge of cloud-based data platforms and DevOps practices. - Build data pipelines ingesting from APIs (.NET Core or other providers) and integrating with PostgreSQL/MS SQL Server. - Strong SQL, relational DB design, PG integration, partitioning, performance tuning. - Work with microservices-based data ingestion, SSOsecured API endpoints
Bachelor's Degree in Computer Science, Information Technology, Data Science, Engineering, MCA or equivalent. 3years
Experience in Government MIS, Big Data Analytics, Machine Learning, Databricks, Azure Data Factory, Kafka, Power BI datasets, AI-based analytics, GIS data integration, and real-time dashboards. - Python/PySpark and big-data stack experience (Hadoop, Spark, Databricks). - DevOps practices for data pipelines (CI/CD).
Pay: Up to ₹70,000.00 per month
Benefits:
Work Location: In person
