Life Sciences Analytics Manager, Data Engineer

Deliver business solution on analytics platform through end-to-end implementation that includes data security, governance, cataloging, preparation, automated testing and data quality metrics
Contribute towards building high performing platform/product DevOps agile teams
Automate, optimize, migrate and enhance existing solutions

Qualifications we seek in you
Minimum qualifications
BE/B- Tech, BCA, MCA, BSc/MSc, MBA
Has worked extensively in AWS, Scala, Python, Spark and PL/SQL in life sciences analytics space
Relevant experience in IT industry
Automate, optimize, migrate and enhance existing solutions
Experience in data engineering which includes data ingestion, preparation, curation, provisioning, automated testing, and quality checks.
Hands on experience in Big Data, Analytics, Big Data cloud platforms, Data Lakes, and Data Warehouses
Good understanding of RDBMS and Data Warehousing concepts.
Relevant experience in writing code in spark engine using python, Scala or java
Highly skilled in AWS Services like Glue, CloudWatch, EMR, S3, SNS, SQS, Athena, Lambda, and Step functions
Experience with perform data modeling, data analysis and providing insights using various tools.
Experience in working as part of agile teams and using agile and collaboration tools like Jira, Confluence.
Good analytical skills and ability to do impact assessments
Ability to work in a team-based environment, as well as the ability to work independently.
Ability to work effectively with people of many different disciplines with varying degrees of technical experience

Preferred qualifications
Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
Flexibility to adapt to a variety of engagement types, working hours and work environments and locations
Excellent communication and negotiation skills