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Zensar
Data Engineer

GCP Data Engineer

HybridMidData Engineerposted 4d ago
Role summaryAI-generated

This mid-level data engineer role focuses on designing scalable GCP-based pipelines and optimizing data workflows for performance, leveraging BigQuery, Dataflow, and Dataproc to build robust ETL/ELT solutions. The candidate will collaborate on cloud-native architectures while ensuring reliability and real-time processing capabilities for analytics-driven systems.

Skills required

About this role

Data Engineering & Development

  • Design, develop, and maintain data pipelines on GCP.
  • Build scalable ETL/ELT solutions for ingesting, transforming, and loading data from multiple source systems.
  • Develop batch and real-time data processing solutions.
  • Optimize data workflows for performance, reliability, and scalability.

GCP Platform Development

  • Work with GCP services including:
    • BigQuery
    • Dataflow
    • Dataproc
    • Pub/Sub
    • Cloud Storage
    • Cloud Composer (Airflow)
    • Cloud Functions
  • Implement cloud-native data architectures and best practices.

Data Warehousing & Analytics

  • Design and maintain data warehouse solutions in BigQuery.
  • Develop data models to support reporting and analytics requirements.
  • Ensure data integrity, quality, and consistency across platforms.

Production Support & Monitoring

  • Support production environments and troubleshoot data pipeline issues.
  • Monitor scheduled jobs and resolve failures in a timely manner.
  • Perform root cause analysis and implement permanent fixes.
  • Ensure adherence to SLA and operational requirements.

Collaboration

  • Work closely with Data Architects, Business Analysts, Product Owners, and Reporting teams.
  • Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
  • Contribute to technical design discussions and code reviews.

Required Technical Skills

GCP Technologies

  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Storage
  • Cloud Composer (Airflow)
  • Cloud Functions

Programming

  • Python
  • SQL (Advanced)

Data Engineering

  • ETL/ELT Development
  • Data Modeling
  • Data Warehousing Concepts
  • Data Quality and Validation
  • Performance Tuning

Databases

  • SQL Server
  • Oracle
  • PostgreSQL
  • MySQL

Version Control & CI/CD

  • Git
  • Jenkins / GitHub Actions
  • DevOps concepts

Preferred Skills

  • PySpark / Apache Spark
  • Kafka
  • Terraform
  • Snowflake
  • Looker
  • Tableau
  • Power BI
  • Data Governance concepts

Responsibilities

Required Technical Skills

GCP Technologies

  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Storage
  • Cloud Composer (Airflow)
  • Cloud Functions

Qualifications

Required Technical Skills

GCP Technologies

  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Storage
  • Cloud Composer (Airflow)
  • Cloud Functions
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