Data Engineer - AWS, Python, DBT, Snowflake - 6-10 Years - Pune
TSYS (Total System Services) (company site, opens in a new tab)6–10 yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Provide high-level consulting for Data Engineering projects focused on complex, large-scale data and ETL pipelines.
- Design, develop, and implement robust data architectures and pipelines primarily using AWS, Python, DBT, and Snowflake.
- Review and optimize programming systems including encoding, testing, debugging, and installation to ensure performance and scalability.
Minimum Requirements
- 6–10 years of professional experience in Data Engineering.
- Proficiency in AWS, Python, DBT, and Snowflake for building and maintaining data models, databases, and pipelines.
- Experience with designing, implementing ETL processes integrating various data sources into Snowflake.
- Work Experience Required: 6–10 years in relevant Data Engineering roles.
Ideal Candidate Profile
- Experienced in managing large-scale datasets and delivering reliable data solutions to support business analytics.
- Skilled in query optimization and data structure performance tuning for scalable data systems.
- Collaborative approach working effectively with data engineers, analysts, and stakeholders to support data-driven decision-making.