Salary
12-20 LPA
Batches
Freshers
Apply Route
100% Direct
About The Role
ShyftLabs is a growing data product company that works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation.
Responsibilities
Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using GCP services like Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
Develop and manage our central data warehouse in Google BigQuery.
Implement data models, schemas, and table structures optimized for performance and scalability.
Write clean, efficient, and robust code (primarily in SQL and Python) to transform raw data into curated, analysis-ready datasets.
Monitor, troubleshoot, and optimize our data infrastructure for performance, reliability, and cost-effectiveness.
Implement BigQuery best practices, including partitioning, clustering, and materialized views.
Build and maintain curated data models that serve as the 'source of truth' for business intelligence and reporting, ensuring data is ready for consumption by BI tools like Looker.
Implement automated data quality checks, validation, and data lineage.
Requirements
- Deep expertise in Google Cloud Platform (GCP) and Google BigQuery.
- Strong understanding of data architecture, data warehousing, and data processing.
- Proficiency in SQL and Python programming languages.
- Experience with data pipeline development, data modeling, and data governance.
- Excellent problem-solving skills and ability to troubleshoot complex data infrastructure issues.
Eligibility Checklist
B.Tech/M.Tech/MCA
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