Title: Data Engineer
Location: Pune
Exp: 3-5 Years

KEY RESPONSIBILITIES
- Pipeline development: Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and loading using Python and Databricks.
- SQL and data modelling: Write efficient SQL queries and scripts for data extraction, transformation, and validation across relational and cloud data stores.
- Azure data services: Build and manage pipelines leveraging Azure services including Azure Data Factory, Azure Blob Storage, and CosmosDB where applicable.
- Ad hoc data engineering: Respond to ad hoc data requests and pipeline changes raised by the Project Lead within agreed hour estimates.
- Data quality and validation: Implement checks, reconciliation steps, and logging to ensure data integrity and traceability across all pipelines.
- Orchestration and scheduling: Configure and manage job orchestration and scheduling on Databricks and Azure-native services.
- Documentation: Maintain transparent technical documentation pipeline design notes, data dictionaries,



runbooks to support knowledge transfer and continuity.
- Collaboration: Work closely with the Data Scientist, API Developer, and Cloud Engineer within the pod; coordinate with client stakeholders via the Project Lead only.

REQUIRED TECHNICAL SKILL-SET

Skill Area Tools / Platforms Programming Python (strong) data wrangling, scripting, automation SQL SQL (strong) query writing, optimisation, data validation Big Data / Lakehouse Databricks (hands-on) notebooks, Delta Lake, jobs Cloud Azure Azure Data Factory, Azure Blob Storage, CosmosDB, Azure Functions Data Formats JSON, CSV, Parquet, XML; REST API consumption Version Control Git, GitHub DevOps Tooling JIRA, Confluence (task and documentation management)

PREFERRED SKILLS / NICE TO HAVE
- Experience with Azure Synapse Analytics or Azure Databricks Unity Catalog.
- Exposure to streaming data pipelines (Azure Event Hubs, Kafka).
- Familiarity with JFrog Artifactory for artefact management.

📌 Data Engineer (Pune)
🏢 NR Consulting
📍 Pune