- Design, develop, test, and maintain large-scale data pipelines using ETL processes to extract, transform, and load data from various sources into MySQL databases.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs through API integration with PySpark.
- Develop complex SQL queries to optimize database performance and troubleshoot issues related to data ingestion.
- Implement scheduling tools such as Airflow or similar technologies to automate the execution of data pipelines.
Job Requirements :
- 6-9 years of experience in a Data Engineering role with expertise in building scalable data pipelines using ETL processes.
- Strong proficiency in Python programming language with experience working with APIs, particularly those built on top of APIs like Flask or Django.
- Experience working with relational databases such as MySQL and ability to write effective SQL queries for querying large datasets.
📌 Senior Data Engineer (Hyderabad)
🏢 Xevyte Technologies
📍 Hyderabad
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