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Salary
$17k – $63k per year (Estimated)
Location
In office (Pune)
Overview
Company
Impact
Profile match
Zensar Technologies provides digital engineering and information technology services. Its practices cover experience design, cloud, data and application modernisation. The company serves banking, manufacturing, retail and healthcare clients.
  • Design, develop, and optimize ETL/ELT pipelines using GCP-native tools (Dataflow, Dataproc, Cloud Composer/Airflow)
  • Build and manage data warehousing solutions on BigQuery, including schema design, partitioning, and query optimization
  • Develop data ingestion frameworks from structured and unstructured sources (batch and streaming)
  • Implement data quality checks, monitoring, and alerting across pipelines
  • Collaborate with data architects to translate business requirements into technical designs
  • Work with Pub/Sub, Cloud Storage, and Cloud Functions to build event-driven data workflows
  • Support CI/CD practices for data pipeline deployments (Cloud Build, Terraform)
  • Ensure data security, access controls, and compliance with governance standards
  • Participate in code reviews, sprint planning, and technical documentation
  • Coordinate with onshore teams across time zones for delivery alignmen
  • Design, develop, and optimize ETL/ELT pipelines using GCP-native tools (Dataflow, Dataproc, Cloud Composer/Airflow)
  • Build and manage data warehousing solutions on BigQuery, including schema design, partitioning, and query optimization
  • Develop data ingestion frameworks from structured and unstructured sources (batch and streaming)
  • Implement data quality checks, monitoring, and alerting across pipelines
  • Collaborate with data architects to translate business requirements into technical designs
  • Work with Pub/Sub, Cloud Storage, and Cloud Functions to build event-driven data workflows
  • Support CI/CD practices for data pipeline deployments (Cloud Build, Terraform)
  • Ensure data security, access controls, and compliance with governance standards
  • Participate in code reviews, sprint planning, and technical documentation
  • Coordinate with onshore teams across time zones for delivery alignment

Good to have

  • GCP Professional Data Engineer certification
  • Experience with dbt for transformation workflows
  • Exposure to Looker or other BI/visualization tools
  • Prior experience in a client-facing offshore delivery model
  • Familiarity with Kafka or other streaming platforms
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