Manager, IT Data Engineer
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science with revenues of more than $40 billion and approximately 120000 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.
About Team: We are Automation AI and Data (AAD) team that caters to data engineering and analytics automation and AI solutions for various groups and divisions within Thermofisher Scientific.
What will you do
As an engineering Manager you will play a key role in strengthening our data engineering capabilities delivering data engineering pipelines and solutions through Enterprise Data Platform (EDP) for various groups and divisions.
General Job Functions
- Collaborate with functional analysts to convert business requirements into scalable data engineering and GenAI-ready pipelines.
- Collaborate with the Scrum Master on product backlogs and support sprint planning and delivery.
- Build test and optimize data pipelines and feature stores for various use cases including real-time batch processing and Generative AI/ML workloads.
- Support the evolution of Enterprise Data Platform (EDP) architecture and participate in roadmap activities related to data analytics and AI platform initiatives.
- Collaborate with leadership and partners to ensure high-quality governed data across DWH AWS and AI/ML consumption layers for BI analytics and GenAI use cases.
- Provide hands-on technical guidance and oversight across multiple data and AI-driven projects.
- Identify potential risks related to data quality model inputs and AI outputs and work with partners to define mitigation strategies.
- Actively support and contribute to development activities in data engineering and GenAI enablement ensuring bandwidth and technical direction when needed.
- Implement and follow Agile development methodologies adhering to DevOps DataOps and MLOps/LLMOps best practices.
- Ensure teams follow prescribed development processes coding standards and architectural patterns.
Must have skills and experience
- 10 years of overall experience with 7 years focused on delivering enterprise-scale data engineering solutions.
- 5 years of proven experience building Cloud-based data and BI solutions on AWS.
- Strong hands-on experience with data modeling data pipelines and large-scale distributed data processing.
- 5 years of programming experience in SQL PySpark and Python.
- Experience working with Generative AI or ML-enabled solutions including:
- Preparing curating and optimizing data for LLMs and ML models
- Supporting RAG (Retrieval-Augmented Generation) patterns embeddings vector stores or feature stores
- Familiarity with AI/ML lifecycle practices including MLOps/LLMOps model integration and production deployment considerations.
- Experience with Agile delivery models following DevOps DataOps and DevSecOps practices.
- Excellent written verbal interpersonal and partner communication skills.
- Strong analytical skills with the ability to translate business requirements into data and AI-ready technical solutions.
- Ability to work effectively with cross-functional globally distributed teams using multiple communication channels (Email MS Teams meetings).
- Excellent prioritization problem-solving and decision-making skills.
Our Mission is to enable our customers to make the world healthier cleaner and safer. Watch as our colleagues explain5 reasons to work with us. As one team of 120000 colleagues we share a common set of values - Integrity Intensity Innovation and Involvement - working together to accelerate research solve complex scientific challenges drive technological innovation and support patients in need.
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.
Required Experience:
Manager
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more
