Data Engineer
Thermo Fisher Scientific
Data Engineer
Job Description
Work Schedule
Flex Shifts 40 hrs/wkEnvironmental Conditions
OfficeJob 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
Answer 10 quick questions to check your fit for Data Engineer @ Thermo Fisher Scientific.
10 Questions
~2 Minutes
Instant Score
Data Engineer
Thermo Fisher Scientific
Data Engineer
Job Description
Work Schedule
Flex Shifts 40 hrs/wkEnvironmental Conditions
OfficeJob 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
Answer 10 quick questions to check your fit for Data Engineer @ Thermo Fisher Scientific.
10 Questions
~2 Minutes
Instant Score