Senior Data Engineer

Thermo Fisher Scientific, Inc; Hyderabad City Taluka; On-site; PKR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Healthcare

Annual bonus

Career development opportunities

Job summary

Thermo Fisher Scientific, Inc is seeking a Senior Data Engineer to join the CCG IT data team. You will develop data pipelines, model data, and ensure quality across enterprise analytics platforms. You’ll work with IT, ETO, and business partners to deliver robust, scalable solutions.

Join a global team that supports Fisher Scientific Research Safety Division and drives data-driven decisions, performance, and reliability in a fast-paced environment.

Qualifications

• Bachelor's degree in computer science, engineering, or equivalent.
• 6+ years of relevant data engineering experience with at least 3 years in data engineering.
• Strong SQL, data modeling, and data warehousing knowledge.
• Proficiency in Python/Scala/Java for reliable data solutions.

Responsibilities

• Design, build, and maintain data pipelines for analytics and reporting.
• Collaborate with IT, architecture, and business teams in an Agile setup.
• Ensure data quality, performance, and scalable data models.
• Support hyper-care and knowledge transfer during deployments.

Skills

SQL expertise

Python

Spark

Cloud platforms

Education

Bachelor's degree in Computer Science or Engineering

Tools

SQL

Python

Spark

AWS / GCP / Azure

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job 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

• 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.