- Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Azure Functions and Kafka.
- Collaborate with cross-functional teams to gather requirements for data processing needs and implement solutions that meet business needs.
- Develop complex SQL queries to extract insights from large datasets stored in relational databases like Postgres or MySQL.
- Ensure high availability of the system by implementing monitoring scripts using Python scripts.
Job Requirements :
- 7-12 years of experience in Data Engineering with expertise in ETL Pipelines development.
- Solid understanding of containerization (e.g., Docker) and cloud computing concepts (e.g., AWS/Azure).
- Proficiency in programming languages such as Python for scripting tasks.
- Experience working with relational databases like PostgreSQL or MySQL for querying large datasets.
📌 Microsoft Fabric Data Engineer (Pune)
🏢 Cascades Data Solutions India
📍 Pune
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