Senior Data Engineer

10 hours ago

Bengaluru, Karnataka, India NTT DATA Full time

Build scalable ETL/ELT pipelines with Informatica or Spark/PySpark; orchestrate with AWS Glue or Azure ADF/Databricks. Implement cleansing, enrichment, and modeling (dimensional/Data Vault); optimize partitioning, job performance, and cost. Publish curated datasets/semantic layers for Power BI, Tableau, SSRS/SSAS; enable self-service analytics. Automate data validation against CLIENT benchmarks (DQ checks, anomaly detection, SLAs/SLOs); add lineage/metadata. Embed security & privacy: PII controls, masking/tokenization, encryption, RBAC; prepare audit evidence. Create CI/CD for data (tests, quality gates), monitor with logs/metrics; triage incidents and drive RCA. Partner with governance/platform teams; review code and mentor mid/junior engineers. 5-8 years building data platforms and pipelines in production. Strong SQL, Python/Scala, Spark/PySpark or Informatica; orchestration via Glue/ADF/Airflow. Experience integrating with Power BI, Tableau, SSRS/SSAS; delivering performant models/datasets. Solid grasp of streaming vs. batch, incremental loads, SCDs, and data quality frameworks. Working knowledge of security/compliance controls and audit expectations; clear communication with business & tech stakeholders.

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