Data Engineer II at Thermo Fisher Scientific #vacancy #remote

Work Schedule

Other

Environmental Conditions

Office

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

Bangalore/Mumbai

Discover Impactful Work:

This position is within the APAC Data Engineering and Visualization team and holds a significant responsibility in converting data into valuable insights within the APJ region. Your main tasks will involve using Databricks, advanced SQL, and Power BI to achieve this goal.

A day in the Life:

  • Own and deliver enhancements associated with Data platform solutions.
  • Improve/Support solutions using Pyspark/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.
  • Handle database migration projects from Redshift to Data Lake S3, ensuring seamless transition and minimal disruption to operations.
  • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights using Power BI.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Keys to Success:

Education

  • Bachelor’s degree in Computer Science with at least 4 years of Data Engineering experience using AWS services, Pyspark/EMR.
  • Having Certifications like AWS Certified Data Analytics, CCA Spark and Hadoop Developer or CCP Data Engineer is helpful.

Experience

  • 4+ Years of Experience in Data Lake, Data Analytics & Business Intelligence Solutions and at least 3+ as AWS Data Engineer
  • Full life cycle project implementation experience in AWS using Databricks Pyspark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other handled services
  • Good experience on Power BI.
  • Good experience in DevOps and CI/CD using Git and Jenkins, experience in cloud native scripting such as CloudFormation and ARM templates
  • Experience using Jira for task prioritization and Confluence and other tools for documentation.
  • Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.

Knowledge, Skills, Abilities

  • Excellent written, verbal and inter-personal and stakeholder communication skills.
  • Excellent prioritization and problem-solving skills.
  • Learn and train other team members
  • Aim to meet and exceed BI Operational SLAs for Service Now incidents, Major Incidents, xMatters alerts, Employee Experience Metrics and BI application /process availability metrics.

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 setting a vision regarding data management platforms, able to build consensus and agreement among key partners that may be in other groups. 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!

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Accessibility/Disability Access

Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-*. Please include your contact information and specific details about your required accommodation to support you during the job application process.

*This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.

arm-template Databases aws-api-gateway Data Engineering Amazon EMR aws-glue indexing Power BI debugging PySpark Business Intelligence (BI) Git Prioritization CI/CD Data Analyst amazon-s3 Lambdas query-optimization Problem-solving Amazon Redshift Data lake Confluence Amazon Athena DevOps view Jira amazon-cloudformation SQL Jenkins

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