Data Engineer
Sago (company site, opens in a new tab)2–5 yrsGurugramRemoteDirect career pageEst. 8–18 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain production ETL/ELT pipelines and analytics-ready datasets for reporting platforms.
- Own data reliability: implement quality checks and monitoring, and troubleshoot pipeline failures, data discrepancies, and performance issues.
- Optimize large-scale processing and automate scheduled workflows, including runtime, storage, and cost efficiency.
Minimum Requirements
- Work Experience Required: 2–5 years in data engineering, ETL development, or a similar role.
- Strong SQL and hands-on Python and/or PySpark skills; experience building and supporting production ETL/ELT pipelines.
- Experience with large datasets, incremental loads, upserts, schema changes, and partitioned data; understanding of relational databases, dimensional modeling, and data warehousing.
- Experience with Git or another version-control system and structured deployment practices.
Ideal Candidate Profile
- Has practical experience operating production data pipelines and resolving data-quality, schema, and performance issues independently.
- Can deliver analytics-ready data across databases, APIs, files, and cloud storage, with working knowledge of cloud data platforms.
- Fits a data engineering environment serving BI and business stakeholders; experience with Airflow, Spark, Delta Lake, AWS, or reporting tools is a plus.