Data Engineering Analyst
Sourceo3+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data engineering pipelines and integrations on Google Cloud Platform focusing on the bronze layer of medallion architecture.
- Ingest data from internal and external sources into the enterprise data lake and modernize legacy data systems and workflows.
- Collaborate with business stakeholders and technical teams to gather requirements, support testing, and design solutions that improve data reliability, usability, and scalability.
Minimum Requirements
- Bachelor’s degree in Data Engineering, Data Science, Computer Science, IT, or a related field.
- 3+ years of experience in data engineering, cloud data platforms, or related roles.
- Hands-on experience with Google Cloud Platform data tools such as BigQuery, Cloud Composer (Airflow), and Cloud Data Fusion.
- Strong SQL skills and experience building ETL/ELT pipelines for structured and semi-structured data.
Ideal Candidate Profile
- Experienced in legacy system analysis and migration to cloud-based data architectures, particularly medallion architecture bronze-layer ingestion.
- Comfortable working independently with a hands-on engineering mindset from analysis through delivery in cross-functional/global teams.
- Able to communicate effectively with both technical teams and business stakeholders, translating business needs into technical solutions.