Roles and Responsibilities :
- Design, develop, test, and deploy data pipelines using AWS services such as Glue, Lambda, and Step Functions.
- Collaborate with cross-functional teams to gather requirements and design solutions for complex data processing needs.
- Develop scalable and efficient ETL processes using Python, PySpark, SQL, and Snowflake to extract insights from large datasets.
- Troubleshoot issues related to data quality, performance optimization, and security compliance.
Job Requirements :
- 5-8 years of experience in a similar role as a Data Engineer or Software Development Engineer (SDE).
- Robust proficiency in programming languages such as Python and SQL.
- Experience working with big data technologies like Hadoop ecosystem (HDFS), Spark (PySpark), Kafka.
📌 Data Engineer (India)
🏢 Teamly Solutions
📍 India
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