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).
Bachelors in CS/IT, or related field
3+ years of experience
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.
Pay: Up to ₹80,000.00 per month
Benefits:
Work Location: In person
