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 rules, and monitoring to ensure the accuracy and integrity of our data pipelines and warehouse.
Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.

3-5+ years of hands-on experience in a Data Engineering, Software Engineering, or a similar role.
Strong proficiency in a programming language such as Python or Java for data processing and automation.
Mastery of SQL for complex data manipulation, DDL/DML operations, and query optimization.
Proven expertise in using BigQuery as a data warehouse, including data modeling, performance tuning, and cost management.
Hands-on experience building data pipelines using the GCP ecosystem (e.g., Dataflow, Pub/Sub, Cloud Storage, Cloud Composer/Airflow).
Deep understanding of ETL/ELT principles and data warehousing architecture (e.g., Star Schema, Data Lakes).
Strong problem-solving and troubleshooting skills with a focus on building scalable, maintainable, and automated systems.

Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
Access extensive learning and development resources to keep leveling up your skills.

Data Engineer

Key skills