Sr. Data Engineer - DSA
vConstruct Private Limited (company site, opens in a new tab)7–10 yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, and maintenance of scalable, high-performance data pipelines and ETL/ELT frameworks.
- Architect and integrate complex data workflows across cloud and on-premise sources ensuring data integrity and reliability with SLAs.
- Collaborate with cross-functional teams to define data models, enforce best practices, monitor pipeline performance, and support data-driven business insights.
Minimum Requirements
- 7 to 10 years of hands-on data engineering experience building scalable and secure data platforms.
- Proficient in Python scripting with over 5 years experience for data processing and ETL development.
- At least 4 years of Snowflake experience including performance tuning and advanced SQL.
- Experience with data integration tools like Azure Data Factory, Fivetran, or Matillion, and cloud platforms such as Azure or AWS.
Ideal Candidate Profile
- Experienced in operating within complex enterprise environments combining cloud and on-premise data sources.
- Skilled in optimizing and monitoring data pipelines ensuring SLAs and high data quality for business insights.
- Comfortable leading technical discussions bridging data engineering with analytics and business teams.