← Back to opportunities
About the Role
Senior Data Engineer (Py Spark)
Location: Pune (Work from Office – 5 Days a Week)
Job Summary:
We are looking for a highly skilled and experienced Senior Data Engineer to join our team in Pune. The ideal candidate will have 8–10 years of experience in designing, building, and optimizing scalable data pipelines and data platforms. The role requires strong expertise in Python, Py Spark, SQL, cloud technologies, and big data frameworks to support large-scale data processing and analytics initiatives.
Key Responsibilities
Design, develop, and maintain scalable and high-performance data pipelines using Python, Py Spark, and SQL.
Build and optimize ETL/ELT processes for large-scale data ingestion, transformation, and storage.
Process and manage large datasets containing millions of records with a focus on performance and scalability.
Develop and maintain data models, data warehouses, and data architecture solutions.
Work with cloud platforms such as AWS, Azure, or ...
Location: Pune (Work from Office – 5 Days a Week)
Job Summary:
We are looking for a highly skilled and experienced Senior Data Engineer to join our team in Pune. The ideal candidate will have 8–10 years of experience in designing, building, and optimizing scalable data pipelines and data platforms. The role requires strong expertise in Python, Py Spark, SQL, cloud technologies, and big data frameworks to support large-scale data processing and analytics initiatives.
Key Responsibilities
Design, develop, and maintain scalable and high-performance data pipelines using Python, Py Spark, and SQL.
Build and optimize ETL/ELT processes for large-scale data ingestion, transformation, and storage.
Process and manage large datasets containing millions of records with a focus on performance and scalability.
Develop and maintain data models, data warehouses, and data architecture solutions.
Work with cloud platforms such as AWS, Azure, or ...
Ready to Join Through a Referral?
Apply now and get connected directly with the hiring team
Apply for this Position