Data Engineer

Inviting applications for the role of Life Sciences Analytics, Data Engineer!

We are looking for a Data Engineer who would be responsible to lead business intelligence and analytics projects. The Data Engineer will be responsible for working with business stakeholders to deliver end to end business intelligence and analytics projects.

Work Location- Bangalore (RTO from day one)

shift - 1 pm to 10 pm

Responsibilities:

• 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