Data Engineer

Business Technology Consultant

Key Responsibilities:

• Design & Implement an enterprise data management strategy aligned with business process, focusing on data models designs, database development standards and data management frameworks
• Develop and maintain data management and governance frameworks to ensure data quality, consistency and compliance for different Discover domains such as Multi omics, In Vivo, Ex Vivo, In Vitro datasets
• Design and develop scalable cloud based (AWS or Azure) solutions following enterprise standards
• Design robust data model for semi-structured/structured datasets by following various modelling techniques
• Design & implement of complex ETL data-pipelines to handle various semi-structured/structured datasets coming from Labs and scientific platforms
• Work with LAB ecosystems (ELNs, LIMS, CDS etc) to build Integration & data solutions around them
• Collaborate with various stakeholders, including data scientists, researchers, and IT, to optimize data utilization and align data strategies with organizational goals
• Stay abreast of the latest trends in Data management technologies and introduce innovative approaches to data analysis and pipeline development.
• Lead projects from conception to completion, ensuring alignment with enterprise goals and standards.
• Communicate complex technical details effectively to both technical and non-technical stakeholders.

Qualifications:

• Minimum of 6+ years of hands-on experience in developing data management solutions solving problems in Discovery/ Research domain
• Advanced knowledge of data management tools and frameworks, such as SQL/NoSQL, ETL/ELT tools, and data visualization tools across various private clouds
• Strong experience in following:
• Cloud based DBMS/Data warehouse offerings AWS Redshift, AWS RDS/Aurora, Snowflake, Databricks
• ETL tools Cloud based tools
• Well versed with different cloud computing offerings in AWS and Azure
• Well aware of Industry followed data security and governance norms
• Building API Integration layers b/w multiple systems
• Hands-on experience with data platforms technologies like: Databricks, AWS, Snowflake, HPC ( certifications will be a plus)
• Strong programming skills in languages such as Python, R
• Strong organizational and leadership skills.
• Bachelors or Masters degree in Computational Biology, Computer Science, or a related field. Ph.D. is a plus.
• Preferred/Good To Have
• MLOps expertise leveraging ML Platforms like Dataiku, Databricks, Sagemaker
• Experience with Other technologies like Data Sharing (eg. Starburst), Data Virtualization (Denodo), API Management (mulesoft etc)

Cloud Solution Architect certification (like AWS SA Professional or others)