Job Description – Senior Data EngineerPosition Details

Role: Senior Data Engineer
Experience: 6–8 Years
Location: Remote
Employment Type: Contract

About the Role

We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data engineering team. The ideal candidate will possess strong expertise in Graph Databases, advanced Python development, ETL/ELT pipelines, and distributed data processing frameworks.

This role requires hands-on experience in designing scalable data architectures, implementing graph-based data models, and building high-performance data solutions for complex business use cases.

Key Responsibilities

Design, develop, and maintain scalable and efficient data pipelines and processing systems.
Build and optimize graph-based data models using Neo4j and Cypher Query Language (Cypher QL).
Develop robust ETL/ELT workflows using Apache Spark, Python, and SQL.
Process and manage large-scale structured and semi-structured datasets across multiple platforms.
Develop APIs and backend services using FastAPI.
Implement graph modeling techniques for relationship-driven datasets and analytics use cases.
Optimize and manage PostgreSQL databases for high-performance querying and storage.
Work with entity resolution and data matching frameworks such as Splink.
Collaborate with Data Science, Analytics, and Product teams to deliver scalable data solutions.
Ensure data quality, governance, security, and scalability best practices are followed.
Troubleshoot system bottlenecks and optimize data workflows for performance and reliability.

Mandatory Skills

6–8 years of hands-on experience in Data Engineering.
Strong expertise in Python (Advanced Level).
Expert-level proficiency in SQL.
Hands-on experience with Neo4j or other Graph Databases.
Strong knowledge of Cypher Query Language (Cypher QL).
Experience in Graph Data Modeling and relationship mapping.
Strong experience with PostgreSQL.
Hands-on expertise in Apache Spark and distributed data processing.
Experience building scalable ETL/ELT pipelines.
Experience developing APIs using FastAPI.
Exposure to Splink or entity resolution frameworks.

Good to Have

Experience working with cloud platforms such as AWS, Azure, or GCP.
Familiarity with Docker and Kubernetes.
Understanding of modern Data Lake and Data Warehouse architectures.
Knowledge of data governance, security, and compliance standards.

Senior Big Data Engineer (6–8 Years)