IBM India Private Limited Pune Data Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now

IBM is an American multinational technology company that manufactures and markets computer hardware, middleware, and software, and provides hosting and consulting services.

In the latest job announcement, IBM announces job vacancies for Data Engineer posts, with work location in Pune.

Under IBM Pune Data Engineer 2026 Jobs, candidates having required skills in AWS, Python, Spark, and Scala can apply.

The selected candidate will be recruited with a permanent and full-time job.

An Interested and qualified candidate has to apply through online mode.

Job Designation: Data Engineer.

Job Code: 101478.

Education Qualification: Bachelor’s Degree/Master’s Degree.

Experience Level: 5 to 8 years.

Job Location: Pune.

Apply Mode: Online.

Your role and responsibilities:

As a Data Engineer specializing in Data Platforms on AWS, you will advise on, develop, and maintain data engineering solutions on the AWS Cloud ecosystem. You will design, build, and operate batch and real-time data pipelines using various AWS services. 

Your primary responsibilities will include: 

• Design and Develop Data Pipelines: Design, build, and operate batch and real-time data pipelines using AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis, ensuring seamless integration and operation of data engineering solutions. 
• Create Data Layers: Create data layers on AWS RedShift, Aurora, and DynamoDB, and migrate data using AWS DMS. 
• Manage Data Services: Schedule and manage data services on the AWS Platform, ensuring efficient operation of data engineering solutions. 
• Develop Batch and Real-time Pipelines: Develop batch and real-time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka. 
• Utilize Open Source Technologies: Utilize open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform to support data engineering solutions.

Required technical and professional expertise:

• Exposure to AWS Toolset: Experience working with AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis to design, build, and operate batch and real-time data pipelines. 
• Data Pipeline Development: Exposure to developing batch and real-time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka. 
• Data Layer Creation: Experience working with AWS RedShift, Aurora, and DynamoDB to create data layers and migrate data using AWS DMS. 
• Open Source Technologies: Exposure to utilizing open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform to support data engineering solutions. 
• Data Service Management: Experience scheduling and managing data services on the AWS Platform, ensuring efficient operation of data engineering solutions.

Preferred technical and professional experience:

• Proficiency with AWS Databrew: Experience working with AWS Glue Databrew to support data engineering solutions, including data preparation and data quality tasks. 
• Knowledge of Lambda Functions: Exposure to using Lambda functions with Python to support data engineering solutions, including data processing and data transformation tasks. 
• Familiarity with RedShift Spectrum: Experience working with RedShift Spectrum to support data engineering solutions, including data warehousing and data analytics tasks.

How to apply:

Interested and qualified job applicants have to apply through online mode, by initially registering with IBM career portal and login in to apply.

Apply online:

https://careers.ibm.com/en_US/careers/JobDetail?jobId=101478&source=WEB_Search_INDIA

For more information about IBM vacancies, visit the IBM Recruitment page.