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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
Gcp bigqueryDataflow apache beamDataproc sparkPub sub streamingCloud storage gsAirflow workflowsEtl elt pipelinesBatch real time processingCloud functions serverlessData engineeringData pipelinesGCPETLELTBigQueryAirflowData architectureData warehousingPythonSQLData modelingData qualityPostgreSQLMySQLCI/CDGitDevOpsSparkKafkaTerraform
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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