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Posted 02 July, 2026

Data Engineer

NR Consulting - India
Pune, Maharashtra, IN Full Time
Reference: 26-15259-2220-1

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

Job Description:

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 clear 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.
  • Prior experience in a managed-services or POD-based delivery model.
  • Domain exposure to manufacturing, automotive, or industrial data environments.







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