Overview
Senior Data Engineer (Senior ETL Developer) focused on designing and building scalable cloud data pipelines and analytics-ready datasets based on Google BigQuery.
What you'll do
- Lead design and development of scalable cloud-based data integration pipelines.
- Ingest structured and semi-structured data from enterprise systems into a centralized cloud data warehouse.
- Transform raw data into trusted, curated datasets for reporting, dashboards, and advanced analytics.
- Implement transformation logic using DBT to create modular, maintainable data models.
- Use BigQuery best practices (partitioning, clustering, query optimization) to ensure performance and scalability.
- Automate and monitor data workflows using Airflow/Cloud Composer.
- Establish data quality checks and testing strategies aligned with business logic.
What you'll need
- Minimum 3+ years of hands-on experience in data engineering.
- Expert-level experience with Google BigQuery for large-scale warehousing and analytics.
- Expert-level experience with Python for data processing and orchestration.
- Expert-level experience with SQL for transformation and query optimization.
- Expert-level experience with DBT for modular data transformation layers.
- Expert-level experience with Airflow / Cloud Composer for orchestration and scheduling.
- Proficiency in Agile methodologies (Scrum/Kanban) and managing IT backlogs.
Nice to have
- Experience with tools such as Ascend.io, Databricks, Fivetran, or Dataflow.
- Experience with data cataloging/governance tools such as Collibra.
- Experience with CI/CD tools, Git workflows, and infrastructure automation.
- Experience with real-time/event-driven processing using Pub/Sub, Kafka, or similar platforms.
- Strategic problem-solving skills and ability to architect innovative solutions.
Details
- Location: Hyderabad, India.
Read the full description and apply on the company’s own careers page.
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