Thermo Fisher Scientific Hiring for Manager Data Engineering at Bangalore, India Full Time

• Manage a team of data engineers, ETL developers, and vendor consulting resources to ensure successful execution of data engineering delivery projects, provide governance and subject matter expertise support for data engineering platform

• Responsible and accountable for data engineering team’s deliverables.

• Identify, coach, and groom the second level leadership within the team.

• Identify process gaps and come up with creative solutions to fill the gaps in the delivery process.

• Should be able to solve delivery issues with tactical and strategic mind set.

• Should be good motivator with excellent people management skills.

• Should be able to help the team both technically and professionally in their career path.

• Enforce the established best practices, standards across the active projects with Quality and “Customer At First” mind set.

• 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

• Drive the team to lead different aspects of data quality, machine learning, data acquisition, and some design and analysis tasks

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 in project management framework Agile (Jira toolset)

Education

• Master’s degree in computer science engineering from an accredited university (desired)

• 4-year degree with a major in computer science engineering (or equivalent) from an accredited university (preferred) will substitute for a minimum of 8-10 years’ professional IT experience.

Experience

• Experience in Big Data, 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

Tool & Technology Skills

• 5+ Years of Experience in Data Lake, Data Analytics & Business Intelligence Solutions

• 2-4 years of experience at Enterprise-level data engineering leveraging python, spark, databricks, Informatica Power Center 9.x, 10.x, and Informatica Cloud environment.

• 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.

• Strong analytical experience with the database in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc.

• Experience with source control systems such as Git, and Jenkins build and continuous integration tools.

• Knowledge of extract development against ERPs – SAP, SFDC, JDE, preferred

• Exposure to data visualization tools like Power BI, Tableau, etc

Knowledge, Skills, Abilities

• Highly self-driven, execution-focused, with a willingness to do “what it takes” to deliver results as you will be expected to rapidly cover a considerable amount of demands on data integration

• Strategic Thinking – Think big picture. Set priorities aligned with major goals. Encourage innovation by backing good people who take smart risks.

• Critical Thinking – Question conventional wisdom by identifying and challenging assumptions made that cause actions or inaction. Strive to inject independent thinking, checking biases, promotes action and decision-making.

• Communication – communicate effectively in the way reach audiences with ease, clarity, and transparency: one-to-one, small group, full staff, email, social media, and of course, listening.

• Provide organizational support for relationship development to foster teamwork, build relationships, and promote collaboration to cultivate and strengthen a network for the exchange of ideas

• Problem-solving (analytical)

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.