Data Engineer and API Developer

Thermo Fisher Scientific India Pvt Ltd

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

13 days ago

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Job summary

Thermo Fisher Scientific India Pvt Ltd seeks a Data Engineer and API developer to design, build, and support end-to-end API-driven data pipelines and data warehouses across on‑prem and cloud environments. You will enable actionable insights and GenAI-driven analytics for enterprise teams.

The role requires 6+ years in data engineering, REST API development, and hands-on PySpark, Databricks or Spark, plus strong SQL. Collaboration with diverse teams and a focus on data quality are essential.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 6+ years of data engineering and REST API development.
  • Experience with Databricks or Spark-based platforms.
  • Python knowledge with PySpark.
  • Experience with data pipelines, delta lakes, and data warehouses.
  • Develop RESTful APIs using microservices architecture.
  • API security including OAuth2.
  • Strong SQL skills and performance tuning.

Responsibilities

  • Design, build, and support API-driven data ingestion and data delivery pipelines, data lakes, and data warehouses across on-prem and cloud environments.
  • Collaborate with infra, IT, and business teams to support enterprise data platform solutions.
  • Develop and optimize SQL queries for analytics and ad hoc reporting needs.
  • Troubleshoot and resolve data pipeline and API workflow issues.
  • Ensure data quality, integrity, and consistency across platforms.

Skills

REST API development
SQL queries
Python / PySpark
Databricks / Spark
AWS services
Docker / Kubernetes
Salesforce APIs
Oracle integrations
Data pipelines
ETL design

Education

Bachelor's degree in Computer Science

Tools

Databricks
Spark
Python
Git & CI/CD
Terraform
Docker
Kubernetes
Salesforce APIs
Oracle APIs
API Gateway
Lambda
S3 / Redshift

Job description

Data Engineer and API developer

Work Schedule: Standard (Mon-Fri)

Environmental Conditions: Office

Job Description: Data Engineer - API integrations

Thermo Fisher Scientific Inc. is looking for a full-time Data Engineer to join our Life Sciences Solutions Group. This role is part of a global team that supports the overall growth of our Global Services and Support organization by delivering scalable, reliable data integrations and analytics solutions. This role plays a strategic part in building and expanding foundational capabilities across Customer Support, Service Delivery functions and AI initiatives.

You will design, build, and support API-driven data ingestion and data delivery pipelines, data lakes, and data warehouses across both on-prem and cloud environments, enabling actionable business intelligence through GenAI and operational reporting.

You’re good at
  • Building and supporting end-to-end data ingestion and transformation pipelines across on-prem and cloud environments
  • Collaborating with infrastructure, IT, and business teams to support enterprise data platform solutions
  • Building and maintaining API-driven integrations using AWS Lambda, API Gateway, and REST/SOAP protocols
  • Writing to and updating Salesforce standard and custom objects via Salesforce APIs, including creating and optimizing SOQL queries
  • Integrating with Oracle systems, including reading from and writing to Oracle tables through APIs or service interfaces
  • Assembling and consolidating datasets from systems such as SAP, Salesforce, Oracle, E1, Genesys, and Service Cloud
  • Developing and optimizing SQL queries for analytics and ad hoc reporting needs
  • Supporting data quality, integrity, and consistency across platforms
  • Troubleshooting and resolving issues in both data pipelines and API workflows
You have
  • A Bachelor’s degree in Computer Science or related field (or equivalent experience)
  • 6+ years of experience in data engineering and REST API development
  • Must have experience with Databricks or Spark-based platforms
  • Experience with Python, including hands on knowledge of PySpark
  • Experience with data pipelines, delta lakes, and data warehouses
  • Experience in developing RESTful APIs using microservices architecture
  • Understanding of API security, authentication, and authorization including OAuth2
  • Strong experience with SQL, including complex joins and performance tuning
  • Experience with data pipelines, delta lakes, and data warehouses
  • Experience with AWS services like S3, Athena, Redshift, API Gateway, Lambda, Route 53, IAM, CloudWatch, and ECS/EKS
  • Strong knowledge of Git based development workflows and CI/CD pipelines and tools such as Terraform
  • Experience with Docker and Kubernetes based deployments
  • Familiarity with Node.js or similar backend technologies
  • Experience integrating with Oracle databases or other enterprise systems via APIs
  • Ability to analyze and troubleshoot large, complex datasets and integration issues
  • Strong written and verbal communication skills
  • Ability to embrace Thermo Fisher Scientific values of Integrity, Intensity, Innovation, and Involvement
You may also have
  • Experience in Life Science or Service organization
  • Exposure to event-driven architectures (Kafka, webhooks)
  • Experience working with visualization tools such as Microsoft Power BI
5 reasons you’ll want to work at Thermo Fisher Scientific
  • What you do every day will be meaningful
  • You’ll have the opportunity to define your path
  • You’ll work with purpose
  • You can share our passion for doing things the right way
  • You’ll be able to realize your best

As the world leader in serving science, we empower our people to advance innovative technologies, develop meaningful solutions, and build rewarding careers. Each one of our 125,000 extraordinary minds have a unique story to tell.

Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer.

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.

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