Sr. Data Engineer
India - Bangalore Update time: October 7,2020
Job Description
Job Title:  Sr Data Engineer
Location:  Bangalore
 
Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of more than $20 billion and approximately 75,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity.  

Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.​ 
 
About Team: We are a strong and competent extension of global IT in India which is committed to serve the organization by providing the best services, implement innovative solutions and provide stability to our enterprise applications which will enable our customers to accelerate growth and increase productivity. 
Who We Are: 
When you join us at Thermo Fisher Scientific, you’ll be part of a smart, driven team that shares your passion for exploration and discovery. With revenues of $20 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world. 

Role & Responsibilities:
  • 6-8 Years of Experience in Data Lake, Data Analytics & Business Intelligence Solutions
  • Strong Experience in ETL Tools preferably Informatica & AWS Glue
  • 6-8 years of experience at Enterprise-level ETL development & architecture in Informatica Power Center 9.x, 10.x and Informatica Cloud environment.
  • Excellent experience in Data Lake using AWS Databricks, Apache Spark & Python
  • 2+ years of working experience in a DevOps environment, data integration and pipeline development.
  • 2+ years of Experience with AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems
  • 2 - 3 years of Project Management experience (Agile/Waterfall)
  • Demonstrated skill and ability in the development of data warehouse projects/applications (Oracle & SQL Server)
  • Strong real-life experience in python development especially in pySpark in AWS Cloud environment.
  • Experience in Python and common python libraries.
  • Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
  • Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
  • Knowledge of extract development against ERPs - SAP, Siebel, JDE, BAAN preferred
  • Strong understanding of AWS Data lake and data bricks.
  • Experience in SAP ERP application, data and processes desired
  • Exposure to AWS Data Lake, AWS Lambda, AWS S3, Kafka, Redshift, Sage Maker would be added advantage
  • Exposure to data visualization tools like Power BI, Tableau etc
  • Functional Knowledge in the areas of Sales & Distribution, Material Management, Finance and Production Planning is preferred

Get email alerts for the latest"Sr. Data Engineer jobs in "