Sr Data Engineer
MoneyGram International, Inc. (company site, opens in a new tab)7+ yrsRemoteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines using Google Cloud Platform services such as BigQuery, Cloud Composer (Airflow), Dataflow, and Cloud Functions.
- Optimize data ingestion frameworks for batch and streaming workloads, implementing partitioning, clustering, and other performance/cost strategies in BigQuery.
- Collaborate with analytics, product, and engineering teams to deliver high-quality data solutions enabling reporting, insights, and advanced analytics.
Minimum Requirements
- 7+ years of experience in data engineering or related fields.
- Strong expertise in Google Cloud Platform tools: BigQuery, Cloud Composer/Airflow, Dataflow/Apache Beam, Pub/Sub, Cloud Storage, Cloud Functions.
- Proficiency in SQL and Python for data transformation and pipeline development.
- Experience with version control (Git) and CI/CD pipelines for automation and deployment.
Ideal Candidate Profile
- Experienced data pipeline builder and optimizer comfortable working with modern ETL/ELT frameworks in cloud environments.
- Skilled in designing data models and implementing data quality, validation, monitoring, and governance best practices.
- Ability to work cross-functionally with analytics, product, and engineering teams to translate requirements into scalable data solutions.