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Data Engineer

Thermo Fisher Scientific

Data Engineer

full-timePosted: Jan 12, 2026

Job Description

Work Schedule

Flex Shifts 40 hrs/wk

Environmental Conditions

Office

Job Description

Job Description

Job Opportunity: Data Engineer

Are you an ambitious Data Engineer looking to join a world-class team? At CCG IT for Fisher Scientific Research Safety Division (RSD) NA, we are seeking a dedicated individual to successfully implement and manage data solutions that will propel our mission forward!

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Collaborate with cross-functional teams to determine data requirements and deliver outstanding solutions
  • Ensure data integrity and flawless performance of data systems
  • Develop and implement data models and algorithms to optimize data processing
  • Perform data analysis to support business needs and drive decision-making
  • Monitor data system performance and troubleshoot issues as they arise

Qualifications

 
  • Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field.
  • Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations.
  • Expertise in ETL/ELT tool (Data Brick)
  • Strong hands-on experience with SQL, Apache Spark, and Python (experience with Pandas preferred).
  • Proficient in working with large datasets and performance optimization for distributed computing environments.
  • Prior experience with tools like Informatica, Cognos, SQL Server, and Oracle is a strong plus.
  • Deep understanding of data modeling, metadata management, and data governance frameworks.
  • Demonstrated experience in leading engineering teams and managing project lifecycles.
  • Familiarity with DevOps/DataOps practices, version control systems (e.g., GitHub), and CI/CD pipelines.
  • Excellent communication, leadership, and collaborator management skills.
  • Experience working in cloud environments such as AWS, Azure, or GCP.

Why Join Us?

  • Be part of an inclusive, collaborative, and innovative team
  • Work on ambitious projects that drive real-world impact
  • Competitive compensation and benefits package
  • Opportunities for professional growth and development

We look forward to welcoming you to our team as we strive to achieve excellence in everything we do!

Locations

  • Hyderabad, Andhra Pradesh, India

Salary

Estimated Salary Rangemedium confidence

75,000 - 130,000 INR / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Expertise in ETL/ELT tool (Data Brick)intermediate
  • Strong hands-on experience with SQL, Apache Spark, and Python (experience with Pandas preferred)intermediate
  • Proficient in working with large datasets and performance optimization for distributed computing environmentsintermediate
  • Deep understanding of data modeling, metadata management, and data governance frameworksintermediate
  • Familiarity with DevOps/DataOps practices, version control systems (e.g., GitHub), and CI/CD pipelinesintermediate
  • Excellent communication, leadership, and collaborator management skillsintermediate
  • Experience working in cloud environments such as AWS, Azure, or GCPintermediate

Required Qualifications

  • Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field (experience)
  • Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations (experience)
  • Prior experience with tools like Informatica, Cognos, SQL Server, and Oracle is a strong plus (experience)
  • Demonstrated experience in leading engineering teams and managing project lifecycles (experience)

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Collaborate with cross-functional teams to determine data requirements and deliver outstanding solutions
  • Ensure data integrity and flawless performance of data systems
  • Develop and implement data models and algorithms to optimize data processing
  • Perform data analysis to support business needs and drive decision-making
  • Monitor data system performance and troubleshoot issues as they arise

Benefits

  • general: Be part of an inclusive, collaborative, and innovative team
  • general: Work on ambitious projects that drive real-world impact
  • general: Competitive compensation and benefits package
  • general: Opportunities for professional growth and development

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Thermo Fisher Scientific logo

Data Engineer

Thermo Fisher Scientific

Data Engineer

full-timePosted: Jan 12, 2026

Job Description

Work Schedule

Flex Shifts 40 hrs/wk

Environmental Conditions

Office

Job Description

Job Description

Job Opportunity: Data Engineer

Are you an ambitious Data Engineer looking to join a world-class team? At CCG IT for Fisher Scientific Research Safety Division (RSD) NA, we are seeking a dedicated individual to successfully implement and manage data solutions that will propel our mission forward!

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Collaborate with cross-functional teams to determine data requirements and deliver outstanding solutions
  • Ensure data integrity and flawless performance of data systems
  • Develop and implement data models and algorithms to optimize data processing
  • Perform data analysis to support business needs and drive decision-making
  • Monitor data system performance and troubleshoot issues as they arise

Qualifications

 
  • Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field.
  • Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations.
  • Expertise in ETL/ELT tool (Data Brick)
  • Strong hands-on experience with SQL, Apache Spark, and Python (experience with Pandas preferred).
  • Proficient in working with large datasets and performance optimization for distributed computing environments.
  • Prior experience with tools like Informatica, Cognos, SQL Server, and Oracle is a strong plus.
  • Deep understanding of data modeling, metadata management, and data governance frameworks.
  • Demonstrated experience in leading engineering teams and managing project lifecycles.
  • Familiarity with DevOps/DataOps practices, version control systems (e.g., GitHub), and CI/CD pipelines.
  • Excellent communication, leadership, and collaborator management skills.
  • Experience working in cloud environments such as AWS, Azure, or GCP.

Why Join Us?

  • Be part of an inclusive, collaborative, and innovative team
  • Work on ambitious projects that drive real-world impact
  • Competitive compensation and benefits package
  • Opportunities for professional growth and development

We look forward to welcoming you to our team as we strive to achieve excellence in everything we do!

Locations

  • Hyderabad, Andhra Pradesh, India

Salary

Estimated Salary Rangemedium confidence

75,000 - 130,000 INR / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Expertise in ETL/ELT tool (Data Brick)intermediate
  • Strong hands-on experience with SQL, Apache Spark, and Python (experience with Pandas preferred)intermediate
  • Proficient in working with large datasets and performance optimization for distributed computing environmentsintermediate
  • Deep understanding of data modeling, metadata management, and data governance frameworksintermediate
  • Familiarity with DevOps/DataOps practices, version control systems (e.g., GitHub), and CI/CD pipelinesintermediate
  • Excellent communication, leadership, and collaborator management skillsintermediate
  • Experience working in cloud environments such as AWS, Azure, or GCPintermediate

Required Qualifications

  • Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field (experience)
  • Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations (experience)
  • Prior experience with tools like Informatica, Cognos, SQL Server, and Oracle is a strong plus (experience)
  • Demonstrated experience in leading engineering teams and managing project lifecycles (experience)

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Collaborate with cross-functional teams to determine data requirements and deliver outstanding solutions
  • Ensure data integrity and flawless performance of data systems
  • Develop and implement data models and algorithms to optimize data processing
  • Perform data analysis to support business needs and drive decision-making
  • Monitor data system performance and troubleshoot issues as they arise

Benefits

  • general: Be part of an inclusive, collaborative, and innovative team
  • general: Work on ambitious projects that drive real-world impact
  • general: Competitive compensation and benefits package
  • general: Opportunities for professional growth and development

Target Your Resume for "Data Engineer" , Thermo Fisher Scientific

Get personalized recommendations to optimize your resume specifically for Data Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineer" , Thermo Fisher Scientific

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score
Quiz Challenge

Answer 10 quick questions to check your fit for Data Engineer @ Thermo Fisher Scientific.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.