Data Support EngineerSupport | (Bangalore Urban)

Role: Data Support Engineer | L3 support | Experience: 5+ years Skills: Python, Databricks ,SQL ,Pyspark Notice period: Immediate to 15 days Location: Bangalore. Roles and Responsibilities: Roles & Responsibilities . Data Engineering & Development
- Design, build, and optimize data pipelines and ETL/ELT workflows using Azure Data Factory (Classic/Fabric), PySpark, SQL, and Python.
- Develop scalable data solutions leveraging Azure Data Lake Storage Gen2 , Delta Lake , Azure Synapse (serverless/dedicated) , and Spark-based processing.
- Implement robust SQL logic including query tuning , window functions , and complex transformations. 2. Cloud Architecture & Integration
- Build and maintain modern data architectures on the Azure ecosystem , ensuring efficiency, scalability, and cost optimization.
- Integrate multiple data sources (structured, semi-structured, streaming) into centralized data platforms such as Lakehouse or Delta Lake . 3. Data Security, Governance & Compliance
- Apply solid governance principles using Azure/Microsoft Purview , including cataloging, lineage, classification, and policy enforcement.
- Implement and manage RBAC , data masking , key management , and secure access controls.
- Enforce compliance with enterprise data, privacy, and security standards. 4. CI/CD, DevOps & Version Control
- Use Git , Azure DevOps , or GitHub Actions for version control, deployment automation, and release management.
- Build and maintain CI/CD pipelines for data workloads, ensuring quality, consistency, and repeatability. 5. Consulting & Client Engagement
- Engage directly with clients to gather requirements, participate in workshops, and contribute to solution design.
- Support pre‑sales activities , including scoping, effort estimation, proposal creation, and technical presentations.
- Deliver solutions across multi-client environments , managing expectations and ensuring customer satisfaction. 6. Collaboration, Leadership & Delivery
- Lead agile ceremonies, coordinate task planning, and ensure on-time delivery of project milestones.
- Mentor junior engineers on coding standards, best practices, and architectural guidelines.
- Ensure adherence to engineering excellence through documentation, reviews, and quality checks. 7. Advanced & Preferred Responsibilities (Nice to Have)
- Develop or optimize workloads using Databricks (DBSQL, Jobs, Delta Live Tables).
- Support migration efforts from Azure Data Factory to Microsoft Fabric pipelines.
- Work with real-time/streaming technologies such as Event Hubs , Kafka , or Fabric Real-Time Intelligence .
- Implement advanced models and optimizations in Power BI —Direct Lake, composite models, incremental refresh, and semantic model design.
- Apply knowledge of Microsoft Fabric components including OneLake , Lakehouse , Synapse in Fabric , and Data Engineering workloads . 8. Behavioral & Consulting Competencies
- Demonstrate strong client communication skills, including whiteboarding, storytelling , and translating technical concepts for business stakeholders.
- Show ownership, accountability, and an ability to solve problems independently and proactively.
- Produce clear, structured documentation across design, pipelines, data models, and solution artifacts.
- Drive collaboration across cross-functional teams and ensure alignment with customer and delivery goals. Apply on Kit Job: kitjob.in/job/4n9dpj