Job Description
When you’re part of the team at Thermo Fisher Scientific, you’ll do important work. Surrounded by collaborative colleagues, you’ll have the support and opportunities that only a global leader can give you. Our respected, growing organization has an outstanding strategy for the near term and beyond. Take your place on our strong team, and help us make significant contributions to the world.
Location/Division Specific Information
This position will be based in Bangalore, India in the APAC Data and Automation team within Digital Solutions Asia
Discover Impactful Work:
Own and deliver enhancements associated with Data platform solutions.
Maintains and enhances scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Enhance/Support solutions using Spark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other Data Engineering technologies.
Write Complex Queries and edit them as required for implementing ETL/Data solutions.
Measure performance and environment of application with system & application log tools and act to improve accordingly.
Implement solutions using AWS and other cloud platform tools, including Databricks, GitHub, Jira, and Confluence.
Follow agile development methodologies to deliver solutions and product features by following DevOps, Data Ops and Dev Sec Ops practices.
Propose Data load optimizations and continuously implement to improve the performance of the Data loads
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability, etc.
Collaborate with Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Be available and participate in on-call schedule to address critical operational incidents and business requests
Education
Bachelor’s degree in Computer Science with at least 5 years of Data Engineering experience using AWS services, Spark/EMR.
AWS Certifications preferred.
Experience
3+ Years of Demonstrated ability in Data Lake, Data Analytics & Business Intelligence Solutions and at least 1+ as AWS Data Engineer
Full life cycle project implementation experience in AWS using Spark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other managed services
Working Experience building ETL data pipelines using Spark on Databricks.
Hands on experience in using AWS S3, Redshift, Athena and Databricks.
Working experience on SQL Queries.
Strong experience in DevOps and CI/CD using Git repository.
Experience using Jira for task prioritization and Confluence and other tools for documentation.
Experience in Python and common python libraries.
Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
Strong understanding of AWS Data lake and data bricks.
Knowledge, Skills, Abilities
Full life cycle implementation experience in AWS using Spark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other managed services
Experience with agile development methodologies.
Manage life cycle of ETL Pipelines and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence.
Excellent written, verbal and inter-personal skills.
Ability to analyze trends associated with huge datasets.
Excellent prioritization and problem-solving skills.
Action Oriented: Have a sense of urgency, high energy and enthusiasm in managing Systems and Platforms
Drives Results: Consistently achieving results, even under tough circumstances.
Learn and train other team members
Communicates Effectively: Provide timely and consistent updates and recommendations on BI Operational issues and improvements.
Physical Requirements / Work Environment
Thermo Fisher Scientific values the health and wellbeing of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive.
You have the flexibility of mind to handle business dynamics and show eagerness to learn new things. You’re a proven Champion in developing and supporting a Data Management platform. You’re flexible in terms of working hours to meet the needs of international internal customers and team members and have a ‘getting things done’ and hands-on mentality.
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.
Apply today! http://jobs.thermofisher.com
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, ****** orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Location/Division Specific Information
This position will be based in Bangalore, India in the APAC Data and Automation team within Digital Solutions Asia
Discover Impactful Work:
Own and deliver enhancements associated with Data platform solutions.
Maintains and enhances scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Enhance/Support solutions using Spark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other Data Engineering technologies.
Write Complex Queries and edit them as required for implementing ETL/Data solutions.
Measure performance and environment of application with system & application log tools and act to improve accordingly.
Implement solutions using AWS and other cloud platform tools, including Databricks, GitHub, Jira, and Confluence.
Follow agile development methodologies to deliver solutions and product features by following DevOps, Data Ops and Dev Sec Ops practices.
Propose Data load optimizations and continuously implement to improve the performance of the Data loads
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability, etc.
Collaborate with Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Be available and participate in on-call schedule to address critical operational incidents and business requests
Education
Bachelor’s degree in Computer Science with at least 5 years of Data Engineering experience using AWS services, Spark/EMR.
AWS Certifications preferred.
Experience
3+ Years of Demonstrated ability in Data Lake, Data Analytics & Business Intelligence Solutions and at least 1+ as AWS Data Engineer
Full life cycle project implementation experience in AWS using Spark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other managed services
Working Experience building ETL data pipelines using Spark on Databricks.
Hands on experience in using AWS S3, Redshift, Athena and Databricks.
Working experience on SQL Queries.
Strong experience in DevOps and CI/CD using Git repository.
Experience using Jira for task prioritization and Confluence and other tools for documentation.
Experience in Python and common python libraries.
Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
Strong understanding of AWS Data lake and data bricks.
Knowledge, Skills, Abilities
Full life cycle implementation experience in AWS using Spark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other managed services
Experience with agile development methodologies.
Manage life cycle of ETL Pipelines and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence.
Excellent written, verbal and inter-personal skills.
Ability to analyze trends associated with huge datasets.
Excellent prioritization and problem-solving skills.
Action Oriented: Have a sense of urgency, high energy and enthusiasm in managing Systems and Platforms
Drives Results: Consistently achieving results, even under tough circumstances.
Learn and train other team members
Communicates Effectively: Provide timely and consistent updates and recommendations on BI Operational issues and improvements.
Physical Requirements / Work Environment
Thermo Fisher Scientific values the health and wellbeing of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive.
You have the flexibility of mind to handle business dynamics and show eagerness to learn new things. You’re a proven Champion in developing and supporting a Data Management platform. You’re flexible in terms of working hours to meet the needs of international internal customers and team members and have a ‘getting things done’ and hands-on mentality.
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.
Apply today! http://jobs.thermofisher.com
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, ****** orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
💡 Quick Summary
Seeking a career-building opportunity? The Developer II| Data Engineering position is now open for candidates interested in the Software Developer Jobs sector. This role in Bengaluru offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.