Data engineer - TACO | Starship Integrations
Required Skills
•Python — production application code (modular, config-driven, unit tested).
•Apache Spark / PySpark — building and tuning distributed transformations, including diagnosing memory and performance problems.
•Apache Airflow — DAG authoring, scheduling and dependency design, debugging failed runs.
•SQL and relational modeling — including schema migrations and data reconciliation.
•AWS S3.
•Production support — troubleshooting data pipeline failures and root-cause analysis.
Preferred Skills
•Anaplan integration — REST/bulk API, Anaplan Connect, or CloudWorks.
•PostgreSQL / RDS and Alembic migrations.
•Docker, Kubernetes, and CI/CD pipelines (Harness or similar).
•Delta Lake / Databricks.
Responsibilities
Integration applications- Containerized Python/PySpark applications that read source data from S3, apply territory and effective-dating business logic, and publish results downstream.
Anaplan integration- Anaplan authentication and bulk import/export APIs, file formatting and upload, and reconciliation of loaded data against source.
Airflow orchestration- Author and maintain DAGs, custom operators, and environment-specific deployment configuration across environments.
Data stores- AWS S3, Delta/Parquet datasets, and PostgreSQL RDS with schema migrations.
CI/CD & runtime- Docker image builds, Kubernetes workloads, and multi-environment promotion pipelines.
Production support- Respond to pipeline failures — Spark memory and performance issues, schema drift, and reconciliation mismatches.
Documentation- Runbooks and lineage documentation.
Salary Range- $120,000-$160,000 a year
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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