Data Engineer
Role Overview
Join the data engineering team building and maintaining platforms for media and sustainability analytics products.
Build self-service data platforms that connect sources, apply business logic and taxonomies, and deliver trusted data to reporting and analytics tools.
Own well-scoped components while collaborating with senior engineers on broader architectural decisions.
Key Skills for This Role
Full Job Posting
About the Role
Join the data engineering team building and maintaining platforms for media and sustainability analytics products.
Build self-service data platforms that connect sources, apply business logic and taxonomies, and deliver trusted data to reporting and analytics tools.
Own well-scoped components while collaborating with senior engineers on broader architectural decisions.
What You'll Do
- Build pipelines that ingest data from third-party APIs and internal sources into cloud data lake and lakehouse environments.
- Develop Spark, PySpark, and SQL transformations to standardize, model, and enrich raw data.
- Build orchestration workflows and troubleshoot data quality, pipeline failures, and performance issues.
- Support data governance, access controls, connector frameworks, taxonomy engines, exports, and BI integrations.
- Contribute to architecture documentation, design reviews, infrastructure migrations, and production support rotations.
What You'll Bring
- At least 3 years of experience as a Data Engineer building production-grade data pipelines.
- Hands-on Apache Spark, PySpark, and SQL experience for data transformation at scale.
- Experience with cloud platforms, preferably Azure, and cloud-native data storage.
- Experience with Databricks and familiarity with Unity Catalog or similar tools.
- Familiarity with governance, RBAC or ABAC access control, and sensitive multi-tenant data.
- Experience integrating pipelines with Power BI, Tableau, or similar tools.
- Understanding of version control, CI/CD, testing, code review, and cross-functional communication.
Nice to Have
- API-based ingestion tools such as Adverity or similar platforms.
- Apache Airflow or other workflow orchestration tools.
- Okta, Entra ID, Istio, AKS, Kubernetes, or containerized deployments.
- Sustainability, ESG, carbon accounting, or C4 architecture documentation experience.
Location
- DGS India, Bengaluru, Manyata N1 Block.
Employment Facts
Time type: Full time.
Contract type: Permanent.
Brand: Merkle.
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