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Job Description
Job Description:
- About the job
- Join a collaborative data engineering team where your work directly powers analytics reporting and smarter business decisions
- In this role you ll help build and optimize cloud native data solutions on Google Cloud working hands on with BigQuery Dataproc and GCS to deliver reliable scalable pipelines
- You ll partner closely with analysts engineers and stakeholders to understand data needs translate them into efficient datasets and ensure data is accurate secure and ready for consumption
- If you enjoy solving performance challenges improving data quality and creating clean well governed data models that teams can trust this is a great opportunity to grow your impact while working in a supportive high ownership environment
Key Responsibilities:
- Key Responsibilities
- Design develop and maintain BigQuery datasets tables views and SQL transformations aligned to analytics and reporting needs
- Build and support ETL ELT pipelines leveraging GCS for ingestion and Dataproc for distributed processing where required
- Optimize BigQuery performance and cost through partitioning clustering query tuning and efficient data modeling practices
- Implement data quality checks validation routines and reconciliation processes to ensure trustworthy outputs
- Collaborate with cross functional teams to gather requirements define data contracts and deliver curated datasets
- Monitor pipeline health troubleshoot failures perform root cause analysis and drive timely resolution
- Maintain clear technical documentation for pipelines datasets transformations and operational runbooks
- Follow secure data handling practices and support access controls and governance standards within GCP
- Minimum Qualifications
- Education BTECH MTECH MCA MSC
- 3 5 years of experience in data engineering or analytics engineering roles with hands on BigQuery usage
- Strong SQL skills with experience building transformations aggregations and analytical datasets in BigQuery
- Experience working with ETL ELT concepts batch processing and data pipeline troubleshooting
- Working knowledge of GCS for data storage ingestion patterns and lifecycle handling
- Exposure to Dataproc for Spark Hadoop based processing and job execution in GCP environments
Technical Requirements:
- Good to have skills
- Cloud Composer Dataflow Pub Sub Looker Terraform
Additional Responsibilities:
- Preferred Qualifications
- Experience designing dimensional or curated data models e
- g
- star snowflake for analytics consumption in BigQuery
- Familiarity with orchestration and scheduling approaches for ETL workflows and dependency management
- Proven ability to improve pipeline reliability and performance through monitoring alerting and operational best practices
- Experience with data governance practices including dataset organization access management and documentation standards
- Strong stakeholder collaboration skills to translate business requirements into scalable maintainable data solutions