12 Aug
|
Weekday`
|
Mumbai
This role is for one of our clients
Industry: Software Development
Seniority level: Associate level
Min Experience: 3+ years
Location: Mumbai,Bangalore
JobType: full-time
We are seeking a highly skilled Graph Data Engineer to design, build, and optimize graph-based data solutions that power complex relationships, connected datasets, and advanced analytics. You will play a key role in developing scalable data pipelines, graph models, and query frameworks that enable productive exploration of interconnected data across large-scale systems.
Requirements:
Key Responsibilities:
- Design, develop, and maintain scalable graph data pipelines and data integration workflows.
- Build and optimize graph data models to represent complex business relationships efficiently.
- Develop robust data ingestion, transformation, and validation processes using Python.
- Write optimized SQL queries for data extraction, transformation, reporting, and analytics.
- Collaborate with software engineers, data scientists,
and product teams to understand data requirements and translate them into scalable graph solutions.
- Monitor data quality, consistency, and integrity across multiple data sources.
- Optimize database performance, indexing strategies, and query execution for high-volume datasets.
- Develop reusable data engineering frameworks and automation scripts.
- Troubleshoot production issues and continuously improve system performance and reliability.
- Document graph schemas, data pipelines, and engineering best practices.
Required Skills:
Must-Have Skills:
- Solid proficiency in Python for data engineering, automation, scripting, and backend data processing.
- Excellent knowledge of SQL, including complex joins, query optimization, stored procedures, and performance tuning.
- Solid understanding of data modeling, ETL pipelines, and data integration techniques.
- Experience working with relational databases and large-scale datasets.
- Knowledge of distributed data processing conc
📌 Graph Data Engineer (Mumbai)
🏢 Weekday`
📍 Mumbai