Data Engineer
Applied Systems (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and operationalize scalable, robust data pipelines with automated data quality checks for business support.
- Lead end-to-end development and production of data pipelines using GCP services (Dataflow, BigQuery, DataProc), Python, DBT, Apache Airflow, and ETL tools.
- Optimize ETL and data processing workflows ensuring high availability, scalability, monitoring, and troubleshooting of data systems.
Minimum Requirements
- Minimum 4+ years in Data/ETL Engineering with at least 1 year experience as a Google Cloud Platform (GCP) developer.
- Proven experience building and maintaining cloud-based scalable Data Warehouses, preferably on Google BigQuery.
- Proficiency in SQL, Python, DBT, Apache Airflow, and version control with Git; familiarity with ETL tools like Talend, Fivetran.
- Bachelor’s degree in Computer Science, MIS, CIS, or equivalent experience.
Ideal Candidate Profile
- Experienced in end-to-end development and operational ownership of cloud data pipelines using GCP and associated tooling.
- Strong knowledge of data modeling techniques and data governance relevant to Data Warehousing and Data Lake architectures.
- Ability to independently design and optimize performance of complex ETL workflows and maintain high data quality in production environments.