Description

Role Purpose

Design, build and operate trusted data pipelines and data products supporting AI, analytics and operational use cases.

Key Responsibilities

- Build scalable batch and streaming ingestion and transformation pipelines.

- Develop curated data layers, reusable data products, quality checks and reconciliation controls.

- Integrate structured and unstructured enterprise data sources.

- Implement security, lineage, metadata, observability and retention requirements.

- Optimize storage and processing performance; automate pipeline testing and deployment.

Required Skills

- Python, PySpark and SQL

- Azure Data Factory, Azure Databricks and data lake technologies

- ETL/ELT, data modelling and orchestration

- Cloud security, Key Vault and access controls

- Git, automated testing and CI/CD

Qualifications

Bachelor's degree in Computer Science, Data Engineering or related field. Azure or Databricks certification preferred.

Key Deliverables / Success Measures

- Explicit, approved deliverables aligned to squad objectives





- Evidence of quality, security, compliance and governance controls

- Predictable collaboration across business and technology stakeholders

- Measurable improvement in product adoption, delivery flow or operational outcomes

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 581792
- Project Location 1 : KRNK | BANGALORE
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Junaid Arif Shaikh
- Relevant Experience : 6+ yrs
- Mandatory skills : refer above JD
- Desired skills : refer above JD
- Domain (Industry) : any
- BGC (Before onboarding / After onboarding) : PostOB
- Total Experience (Ex. 5-7 Years) : 8+ yrs
- BGC Details : as per client
- BGC Vendor : as per client
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 9-6
- Shift Timings : General

📌 581792- tPython, PySpark and SQL -India- DX
🏢 Trigent Software
📍 India