Roles and Responsibilities :

- Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as PySpark and SQL.
- Collaborate with cross-functional teams to gather requirements for data warehousing solutions and implement scalable architectures on Snowflake.
- Develop high-quality data models, schemas, and views to support business intelligence reporting needs.
- Troubleshoot complex issues related to data quality, integrity, and performance in real-time streaming applications.

Job Requirements :

- 5-10 years of experience in Data Engineering with expertise in ETL (Extract Transform Load) processes.
- Solid proficiency in Python programming language with experience working with libraries like NumPy, Pandas, Matplotlib.
- Experience designing and implementing scalable big-data architectures using technologies like Kafka or similar messaging queues.
- Proficiency in working with relational databases like MySQL or PostgreSQL as well as NoSQL databases like MongoDB.

📌 Data Engineer (Noida)
🏢 Sparx IT Solutions
📍 Noida