Senior Data Engineer
First seen by Alion on Aug 27, 2026.
About the job :
We are seeking a Senior GCP Data Engineer with 4 to 8 years experience to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP).
The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments.
Key Responsibilities :
- Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP.
- Build and optimize data pipelines using Python.
- Implement streaming solutions using Pub/Sub and Dataflow.
- Develop and manage batch workflows using Cloud Composer.
- Design and optimize data models and queries in BigQuery.
- Work with large-scale, low-latency data stores such as Bigtable.
- Ensure data quality, reliability, performance, and scalability.
- Manage source code, reviews, and collaboration using GitHub.
- Build and maintain CI/CD pipelines using GitHub Actions.
- Collaborate with product, platform, and analytics teams in an Agile setup.
Required Skills & Qualifications :
- Strong hands-on experience with Google Cloud Platform (GCP).
- Proven expertise in batch and real-time data pipelines.
- Strong programming experience in Python.
- Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer.
- Solid understanding of data modeling, ETL/ELT, and distributed data systems.
- Proficiency with GitHub and GitHub Actions-based CI/CD.
- Experience working in Agile environments.
- Strong knowledge of data security and access management.
Nice to Have :
- Experience with data governance, lineage, and observability tools.
- Exposure to large-scale analytics or enterprise data platforms.
Technical Skills :
- Primary Skills: GCP, Bigdata, PySpark, Bigquery, Composer, Python.
- Secondary Skills: SQL, Spark/Python.
- Good to Have: Gen AI.
Skills
Data Engineering, Python, Google Cloud Platform, BigQuery, ETL, SQL