Cloud Infrastructure Engineer

2 weeks ago


Hyderabad, Telangana, India Bristol Myers Squibb Full time

Bristol Myers Squibb is a leading pharmaceutical company that empowers its employees to make a meaningful impact on patients' lives.

Estimated Salary: $120,000 - $180,000 per year

We are seeking a highly skilled Cloud Infrastructure Engineer - Data Engineering to join our team in Hyderabad, India. As a key member of our data engineering team, you will be responsible for designing and managing ETL pipelines, leveraging strong SQL skills, and using programming languages to support data engineering workflows.

About the Role

The primary focus of this role will be on AWS infrastructure tasks such as managing IAM roles, S3 policies, SFTP endpoints, Lambda functions, RDS, Redshift, and other cloud databases. The secondary responsibility will involve designing and managing ETL pipelines, leveraging strong SQL skills, and using programming languages to support data engineering workflows.

  • Manage and maintain our AWS cloud infrastructure, ensuring security and compliance.
  • Design and build robust ETL pipelines to extract, transform, and load data from various sources into target systems, including AWS data lakes or data warehouses (e.g., Redshift).
  • Write and optimize complex SQL queries for data extraction, manipulation, and transformation, supporting data engineering workflows.

In addition to technical expertise, we value strong problem-solving and troubleshooting skills, excellent collaboration skills, and the ability to prioritize and manage multiple responsibilities in a fast-paced environment.

About Us

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services, and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Qualifications and Experience
  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3-5 years of experience working with AWS services (IAM, S3, Lambda, RDS, Redshift, etc.).
  • Hands-on experience with AWS Transfer for SFTP, including endpoint management.
  • Strong experience with ETL pipeline design and implementation.
  • Proficiency in any programming language (e.g., Python, Scala) used for automation and data engineering tasks.
  • Strong SQL skills for querying, data manipulation, and optimization.
  • Familiarity with cloud database management and AWS automation tools like CloudFormation or Terraform.


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