Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Data Engineering

Positive to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Data Engineer – Azure Data Platform & Graph

Experience: 5–8 years

Location: India

Role Summary

A hands-on, build-and-run role: writing and operating the ETL/ELT pipelines, lakehouse tables, and graph data models that bring data from many enterprise source systems into a governed, analytics- and AI-ready platform. Day to day, this means writing transformation code, debugging failed pipeline runs, and modeling connected data directly in both property-graph (Cosmos DB Gremlin) and RDF/semantic-graph (SPARQL, Turtle) stores — not just designing on a whiteboard.

Key Responsibilities

Build, schedule,



and maintain ETL/ELT pipelines — extracting from source systems, transforming with PySpark/Spark SQL, and loading into bronze/silver/gold lakehouse tables — using Fabric Data Factory pipelines and Dataflow Gen2 (or ADF/equivalent)

Write and maintain transformation logic for incremental loads, change data capture (CDC), deduplication, slowly changing dimensions (SCD), and schema evolution

Hands-on troubleshooting of failed or delayed pipeline runs — diagnosing root cause, fixing transformation bugs, and rebuilding/backfilling data as needed

Model and query graph data (vertices, edges, properties) directly in Azure Cosmos DB for Apache Gremlin, writing and optimizing Gremlin traversals for relationship-heavy and knowledge-graph use cases

Write SPARQL queries and author Turtle (.ttl) files to populate and query RDF-based knowledge graphs, working with a triplestore such as Graphwise GraphDB

Build and publish data p

📌 Data Engineer (Hyderabad)
🏢 Accenture in India
📍 Hyderabad