Job Description

Job Title: Data Engineer Manager

Reports to: Manager Delivery ETO BI

Group / Division: Corporate/ETO

Career Band: 7

Job Family: IT

Job Sub Family: ETO BI

Job Code:

Job Track: Professional

Position Location(s): Bangalore

Number of Direct Reports: 10

When you join us at Thermo Fisher Scientific, you'll be part of smart, driven team that shares passion for data exploration and discovery.With revenues of more than $25 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.

Location/Division Specific Information

Business Intelligence Delivery and Operations team is part of corporate IT function under Enterprise Technology Organization. Data Solutions and Business Intelligence Team is responsible for development of data service, data lake and analytics services for internal customers of Thermo Fisher Scientific.

How will you make an impact?

Enabling our internal teams at scaled, Data Engineering Manager will join our Business Intelligence Delivery team and will be responsible for working & managing data Analysts and team members to develop data driven applications and automations across a variety of infrastructure(both On-Prim and Cloud). Data Engineering Manager must be able to collaboratively work in an Agile team to design, develop and maintain data structures for the Enterprise data platform. This position offers an exciting opportunity to work on processes that interface with multiple systems including AWS, Oracle, Middleware and ERPs. The candidate will lead development projects, pilots, and advance best design practices.

What will you do?

• Manage a team of data engineers, etl developers, and vendor consulting resources to ensure successful execution of BI delivery projects, provide governance and subject matter expertise support for data engineering platform
• Lead, design, develop, deploy and maintain mission critical data applications for Enterprise data platform
• Participate in all phases of the Enterprise Data platform development life cycle as appropriate; including, but not limited to gathering customer requirements, defining technical requirements, creating high level architecture diagrams, data validation and training sessions
• Engage in Data solutions and Business Intelligence Projects and drive them to closure.
• Lead different aspects of data quality, machine learning, data acquisition, and some design and analysis tasks.
• Spearhead efforts on the latest trends in the field of data engineering for roadmap initiatives.
• Advocate the best practices and processes involved in data engineering life cycle.
• Status reporting of the live projects at appropriate frequencies.
• Facilitate the onboarding of new projects and spearhead the initial set-up efforts.
• Work closely with the Scrum master on project/sprint planning aspects.

How will you get here?

• Have strong experience in data engineering, data transformation, big data or business intelligence products
• Ability to work independently and as a member of a cross-functional team
• Lead and manage data engineers within the team.
• Is passionate about applications, data analytics, end-user productivity
• Exceptional customer focus.
• Desire to teach other team members about technology in the area of expertise.
• Experience on project management framework Agile (Jira toolset)
• Master's degree in computer science engineering from an accredited university (desired).
• 4-year degree with major in computer science engineering (or equivalent) from an accredited university (preferred) will substitute for minimum 5-7 years' professional IT experience.
• Experience in Data lake, Oracle, SQL Server or AWS Redshift type databases.
• Experience in ETL/ELT(Data extraction, data transformation and data load processes).
• Strong Experience in DevOps and Agile Management processes.

Tool & Technology Skills

• 8+ Years of Experience in Data Lake, Data Analytics & Business Intelligence Solutions.
• Strong Experience in ETL Tools preferably Informatica & Databricks.
• 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
• 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.
• Exposure to data visualization tools like Power BI, Tableau etc.

Job Category

Information Technology

Thermo Fisher Scientific

is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.