GCP Data Engineer - Senior Consultant
IndiaContractSenior
Salary not disclosed
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Job Details
- Experience
- 9+ years
- Required Skills
- PythonSQLApache AirflowETLGCPData modelingBigQuery
Requirements
- 9+ years of experience as a Data Engineer, including at least 6+ years working on Google Cloud Platform.
- Strong expertise in GCP services such as BigQuery, Cloud Storage, Cloud Functions, and related data tools.
- Hands-on experience designing and deploying scalable data pipelines and data integration solutions.
- Advanced SQL and strong Python/scripting skills for data processing and automation.
- Deep knowledge of data modeling, database design, and performance optimization techniques.
- Experience with orchestration tools such as Apache Airflow (mandatory).
- Familiarity with modern data transformation tools such as DBT or Dataform.
- Strong understanding of ETL/ELT frameworks and distributed data systems.
- Experience with version control and collaboration tools such as Git, Jira, and Confluence.
- Excellent communication skills with the ability to engage both technical teams and business stakeholders.
- Experience working in global, distributed, and client-facing environments.
Responsibilities
- Design, build, and maintain scalable data pipelines and end-to-end data ecosystems on Google Cloud Platform.
- Develop and optimize data architectures using services such as BigQuery, Cloud Storage, and Cloud Functions.
- Gather, analyze, and document business and technical requirements in close collaboration with clients and stakeholders.
- Implement ETL/ELT processes to integrate and transform data from multiple sources including databases, APIs, and streaming systems.
- Optimize data storage and retrieval using techniques such as partitioning, indexing, compression, and query tuning.
- Monitor system performance, troubleshoot complex data issues, and perform root cause analysis to ensure system reliability.
- Mentor and support junior data engineers while contributing to best practices and knowledge sharing.
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