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Senior Data Engineer / Developer (Pipelines & Analytics) at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, ELT, Informatica, Spark, PySpark, AWS Glue, Azure ADF, Databricks, SQL, Python, Scala, Power BI, Tableau, SSRS, SSAS, Data Quality

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

Build scalable ETL/ELT pipelines and publish curated datasets for analytics. Automate data validation and embed security and privacy controls.