Associate Data Engineer Graph - Research Data and Analytics

Location: Prakāshamnagar

Roles & Responsibilities :
Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
Optimize large datasets for query performance
Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve data-related challenges
Adhere to best practices for coding, testing, and designing reusable code/component
Explore new tools and technologies that will help to improve ETL platform performance
Participate in sprint planning meetings and provide estimations on technical implementation
Maintain documentation of processes, systems, and solutions

Skills:

Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices.
Hands on experience with big data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on data processing.
Excellent problem-solving skills and the ability to work with large, complex datasets