Senior Specialist, IT

Baxter International; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Baxter International Inc. is seeking a Senior Data Engineer in Bengaluru to design, develop, and implement enterprise-scale data integration and engineering solutions.

The ideal candidate will excel in PySpark, Python, SQL, AWS, Snowflake, and API integrations, delivering end-to-end data projects from requirements through production deployment. You will build scalable pipelines, modernize data platforms, and collaborate with business analytics teams to provide reliable, high-performing data

Qualifications

• Proficient in PySpark, Python and SQL for scalable data solutions.
• Experience with AWS, Snowflake and REST API integrations.
• Strong background in building end-to-end data pipelines and data warehousing.

Responsibilities

• Design, develop and maintain end-to-end data integration and engineering solutions.
• Lead the full project lifecycle from analysis to deployment and production support.
• Build scalable ETL/ELT pipelines for data ingestion, transformation and loading.
• Develop robust data processing frameworks using PySpark and Python.
• Design and optimize complex SQL queries and data transformations.
• Develop and support integrations using REST APIs and modern patterns.
• Implement cloud-based data solutions with AWS and Snowflake.
• Ensure data quality, performance, scalability and reliability.
• Collaborate with stakeholders, architects and apps teams.

Skills

PySpark

Python

SQL

AWS

Snowflake

REST APIs

Tools

Git

CI/CD

DevOps

Informatica PowerCenter/IICS

IBM DataStage

Job description

This is where your work makes a difference.

At Baxter, we believe every person - regardless of who they are or where they are from - deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.

Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.

Here, you will find more than just a job - you will find purpose and pride.

Your Role at Baxter

We are seeking a highly motivated and experienced Senior Data Engineer to design, develop, and implement enterprise-scale data integration and data engineering solutions. The ideal candidate will have strong expertise in PySpark, Python, SQL, AWS, Snowflake, and API integrations, with experience delivering end-to-end data engineering projects from requirements gathering through production deployment. The role involves building scalable data pipelines, modernizing data platforms, integrating enterprise applications, and supporting business analytics through reliable and high-performing data solutions.

What you'll be doing

• Design, develop, and maintain end-to-end data integration and engineering solutions.
• Lead the complete project lifecycle including requirements analysis, solution design, development, testing, deployment, and production support.
• Build and optimize scalable ETL/ELT pipelines for data ingestion, transformation, and loading.
• Develop robust data processing frameworks using PySpark and Python.
• Design and optimize complex SQL queries and data transformations.
• Develop and support integrations using REST APIs and modern integration patterns.
• Implement and maintain cloud-based data solutions leveraging AWS services and Snowflake.
• Ensure data quality, performance, scalability, and reliability across data platforms.
• Collaborate with business stakeholders, architects, and application teams to deliver effective data solutions.
• Troubleshoot production issues and provide timely resolutions.
• Follow data governance, security, and compliance standards.
• Mentor junior team members and contribute to data engineering best practices.

What you'll bring

Years of Experience 8 - 10 Yrs

• Strong experience in PySpark, Python, and SQL for building scalable, high-performance data solutions.
• Expertise in developing and optimizing ETL/ELT pipelines, data transformations, and large-scale distributed data processing.
• Solid understanding of data warehousing, data modeling, and cloud-based data architectures.
• Hands‑on experience with AWS services such as S3, Glue, Lambda, EMR, Step Functions, RDS, and CloudWatch.
• Experience working with Snowflake to build and manage modern data platforms and data lakes.
• Knowledge of performance tuning, automation, and best practices for cloud‑native data solutions.
• Experience with Git, CI/CD, and DevOps practices.
• Familiarity with Agile/Scrum methodologies.
• Strong problem‑solving skills and a passion for building reliable, scalable data products.
• Experience with Informatica PowerCenter/IICS for enterprise data integration and migration projects is nice to have.
• Experience with IBM DataStage, including ETL development, performance tuning, and modernization initiatives is nice to have.

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.