Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Hyderabad, India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Senior Level 6+ years of relevant industry experience, including at least 3 years of hands-on data engineering experience. Experience within Supply Chain, Operations, Manufacturing, or a related business domain is a strong plus.
- Education
- You have a bachelor’s degree in computer science, Engineering, or equivalent. Master's degree is a plus.
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Role Summary
Senior Data Engineer on the CCG IT data team for the Fisher Scientific Research Safety Division, joining the IT Data Analytics team to support the integration, delivery, and adoption of Global IT solutions. The role works with IT, ETO, AAD, and business functions to translate data requirements into technical solutions and works alongside a team of Data Engineers and Sr. Data Engineers.
What You'll Do
- Translate data requirements from IT, ETO, AAD, and business functions into technical solutions, including data modeling and schema design
- Design, develop, and maintain data ingestion, data processing, and data producing pipelines, and build reusable components and frameworks
- Monitor and optimize the performance of data solutions to meet SLAs and scalability requirements, and ensure ETL processes meet business...
- Carry out requirements analysis and documentation, and review design documentation with business users
- Ensure the readiness of applications, environments, and tools for end-to-end integration and UAT testing
- Support hypercare knowledge transfer, hand over documentation to the support team, gather business sign-off, and support adoption of changes
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- Bachelor's degree in computer science, Engineering, or equivalent
- 6+ years of relevant industry experience, including at least 3 years of hands-on data engineering experience
- Strong expertise in SQL, relational databases, data modeling, and modern data warehousing concepts
- Strong programming skills in one or more of Python, Scala, or Java
- Strong experience with distributed data processing and modern data platforms such as Apache Spark, Hadoop/Hive, Kafka, or comparable...
- Strong problem-solving and analytical skills, including troubleshooting complex data and performance issues across distributed systems
- Deep understanding of software and data engineering design principles, architectural patterns, scalability, performance, reliability,...
- Excellent communication and stakeholder-management skills
Preferred
- Master's degree
- Experience within Supply Chain, Operations, Manufacturing, or a related business domain
- Hands-on cloud platform experience, preferably AWS, with GCP or Microsoft Azure equivalent experience also valued
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
As a member of the CCG Information Technology team, you join a hard-working, global function that improves processes, builds systems capabilities, and contributes to supporting colleagues across the globe aspiring to exceed our customers' needs.
DESCRIPTION:
As Senior Data Engineer CCG IT data team for Fisher Scientific Research Safety Division (RSD) you will join our IT Data Analytics team acting as a key part in the integration, delivery, and adoption of Global IT solutions (spanning across multiple applications at Enterprise, Group and/or Division level).
The Senior Data Engineer, CCG IT, is responsible for working in partnership with IT, ETO, AAD and business functions to understand data requirements and translate them into technical solutions. This includes ensuring proper design, implementing robust data pipelines, performing data modeling and schema design to support business analytics and reporting needs, and ensuring data quality and integrity throughout the data lifecycle. The role also involves monitoring and optimizing the performance of data solutions to meet SLAs and scalability requirements and ensuring ETL processes meet business expectations and requirements.
Additionally, this person is responsible for ensuring the readiness of all relevant applications, environments, tools, and profiles to enable high-quality end-to-end integration and UAT testing. The person is also tasked with warranting the deployment of high-quality solutions, as well as ensuring a proper handover to the support team after the hyper-care period, for both global projects and local enhancements.
You will be working with a team of Data Engineers/Sr. Data Engineers through the execution of their role to deliver global projects, local enhancements, break-fixes.
Experience
Data Management & Development
· Take active part in the Data Engineering efforts and building of the Data platform required by the business.
- Design, develop and maintain data ingestion, data processing and data producing pipelines according to the best practices
- Design and build reusable components, frameworks, and libraries at scale to support analytics products
· Foster a culture of innovation, collaboration, and continuous improvement within the team.
Data Analysis
· Carry out the data analysis processes and techniques in areas such as requirements analysis, documentation, and business process analysis.
· Participate in meetings and use collaborative workshops to gather requirements, analyze potential conflicts considering global impact and uncover expectations with key business partners.
· Produce understandable documentation of the final business requirements, success criteria, processes, use case scenarios as well as metrics to measure impact of changes and return on investment.
· Review design documentation with business users and represent the users with the Development Team.
· Identifying and implementing opportunities for Data Platform automation
Hypercare Management
· Support the Knowledge Transfer development & execution through Hyper-care support, with Business, Operational teams, IT, and other functions.
· Ensure proper documentation is handed over to the support team to ensure they are aware of the changes and open issues.
· Gather sign-off / approvals from the business.
· Support the business to ensure effective adoption of changes.
Knowledge, Skills, Abilities
· You have a bachelor’s degree in computer science, Engineering, or equivalent. Master's degree is a plus.
· 6+ years of relevant industry experience, including at least 3 years of hands-on data engineering experience. Experience within Supply Chain, Operations, Manufacturing, or a related business domain is a strong plus.
· Strong expertise in SQL, relational databases, data modeling, and modern data warehousing concepts, including the design and optimization of scalable analytical data models.
· Strong programming skills in one or more languages commonly used in data engineering, such as Python, Scala, or Java, with a focus on developing reliable, maintainable, and production-quality data solutions.
· Hands-on experience with cloud platforms, preferably AWS, with equivalent experience in Google Cloud Platform (GCP) or Microsoft Azure also valued.
· Strong experience with distributed data processing and modern data platforms and technologies such as Apache Spark, Hadoop/Hive, Kafka, or comparable technologies.
· Strong problem-solving and analytical skills, with the ability to troubleshoot complex data and performance issues across distributed systems.
· Deep understanding of software and data engineering design principles, architectural patterns, scalability, performance, reliability, security, and maintainability.
· Excellent communication and stakeholder-management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
· Comfortable collaborating across engineering, analytics, architecture, product, and business teams in an Agile development environment.
· A strong continuous-learning mindset, with an interest in evaluating emerging technologies, improving engineering practices, and driving continuous improvement across the data platform.
Benefits
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ 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. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
About the company
Thermo Fisher Scientific
Large Enterprise
Thermo Fisher Scientific is a global leader in serving science, providing a wide range of analytical instruments, reagents, and software solutions for healthcare, pharmaceuticals, and life sciences research. With a commitment to innovation and quality, the company enables customers to make significant advancements in scientific discovery and healthcare diagnostics. Thermo Fisher operates in more than 50 countries and employs over 80,000 people, fostering a collaborative environment aimed at enhancing global health and safety. Through its broad portfolio of brands and technologies, the company plays a vital role in accelerating life-changing research and improving patient outcomes worldwide.