Data Engineer
Worklife Tech Data Engineer
Summary
Build, optimize, and support data pipelines end to end as independent, deployable data products, while championing DevOps practices (CI/CD, Terraform) on Google Cloud Platform. The role involves collaborating with product teams in a data mesh context, and requires GCP certification.
Job Description
- Take
end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision.
- Champion
a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform(GCP).
- Ensure
that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance.
- Collaborate
closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs.
- Partner
with product teams across domains to enable data sharing and integration within a data mesh context.
- Drive
continuous improvement, enhance data engineering practices, and reduce technical debt.
- Maintain
up-to-date expertise in data engineering, analytics, and cloud technologies.
· Required
cloud certification: GCP Certifications
Good to Have
- Experience
with GCP services such as Cloud Run
- Exposure
to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive).
- Experience
with various data formats (e.g., Avro, Parquet,Iceberg,Hudi).
- Experience
with DBT in production data transformation workflows.
- Knowledge
of modern data governance and cataloging practices.
- Experience
with data visualization tools and collaboration with analytical stakeholders.