Jr. Data Engineer
GrowExx (company site, opens in a new tab)1–2 yrsOn-siteDirect career pageEst. 5–8 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and monitor ETL/ELT pipelines and Apache Airflow DAGs for batch and incremental data loads.
- Write efficient SQL and Python (pandas, API calls) scripts to transform and load data into Snowflake cloud data warehouse.
- Ingest data from multiple sources (databases, APIs, flat files, Amazon S3) including implementing data validation and quality checks.
Minimum Requirements
- 1-2 years experience in Data Engineering.
- Bachelor's degree in Computer Science, IT, Engineering or related field.
- Proficiency with Airflow, SQL, Python, Snowflake or cloud data warehouses, and AWS.
- Work Experience Required: 1-2 years in Data Engineering.
Ideal Candidate Profile
- Experience collaborating with data analysts and senior engineers, participating in code reviews and documenting data pipelines.
- Comfortable working in cloud data environments and familiar with data warehousing concepts.
- Capable of writing and optimizing end-to-end data pipelines with ownership of pipeline quality and reliability.