Data Engineer
Skills
About the role
Key Responsibilities
Design, develop, and deploy data ingestion and transformation pipelines using Apache Spark (Scala).
Work within Google Cloud Platform (GCP) components including Dataproc, BigQuery & Cloud Storage.
Write complex SQL queries for data analysis, validation, and transformation in BigQuery.
Develop Unix shell scripts for automation, data movement, and pipeline orchestration.
Optimize and troubleshoot data pipelines for performance, scalability, and reliability.
Collaborate with data engineers, analysts, and business stakeholders to understand requirements and ensure data quality.
Contribute to code reviews, documentation, and CI/CD integration of data workflows.
Required Skills & Qualifications
4–6 years of hands-on experience in data engineering or related roles.
Proven experience developing Spark applications in Scala.
Strong experience working in Google Cloud Platform (GCP) ecosystem - including Dataproc, BigQuery, Cloud Storage.
Proficient in SQL (especially BigQuery SQL dialects).
Strong experience with Unix/Linux scripting for data automation.
Familiarity with version control (Git) and CI/CD processes.
Excellent problem-solving and debugging skills.
Strong communication and documentation abilities.
Nice-to-Have Skills
Experience with Python for data processing or automation.
Knowledge of data governance, data quality, or metadata management best practices.
Education
Bachelor’s degree in Computer Science, Engineering , or a related technical discipline (or equivalent work experience)
Pay: ₹1,800,000.00 - ₹3,400,000.00 per year
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)
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