Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
About the role
- Data Engineer working on ingesting, transforming, and analyzing data on Google Cloud Platform. Collaborating with cross-functional teams in Chennai to deliver analytical data products.
Responsibilities
- Work on a Central Engineering Portfolio Team based in Chennai to deliver curated data products and perform end to end Full stack Data engineer role.
- Work effectively with fellow data engineers, product owners, data champions and other technical experts.
- Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
- Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
- Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.
Requirements
- 5+ years of SQL development and analytics/data product development experience.
- 3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.
- Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc.
- Experience working with Airflow for scheduling and orchestration of data pipelines.
- Experience working with Terraform to provision Infrastructure as Code.
- 2 + years professional development experience in Java or Python.
- Bachelor’s degree in computer science or related scientific field.
- Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.
Job title
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