Exciting IBM Data Engineering Opportunities for 2025: Join the Future of Data Solutions!

If you’re looking to kickstart your career in data engineering with a global leader, IBM India Private Limited has exciting job openings for 2025! As a Data Engineer focusing on Data Platforms with a specialization in AWS, you’ll work in a hybrid environment, allowing for flexibility while collaborating with a talented team. This role is perfect for those who are passionate about data, eager to innovate, and ready to tackle complex challenges using cutting-edge technologies. IBM is dedicated to fostering an inclusive workplace where creativity thrives, making it an ideal setting for both experienced professionals and fresh graduates alike. Dive into the details of this opportunity and discover how you can play a pivotal role in shaping the future of data analytics.

Key Job Details

• Job Title: Data Engineer-Data Platforms-AWS
• Company: IBM India Private Limited
• Job ID: 48011
• Location: Bangalore, Karnataka, India
• Employment Type: Regular – Professional
• Education Requirement: Bachelor’s Degree or Master’s Degree
• Salary Package: As per Company Standards
• Full/Part Time: Full Time
• Date Posted: July 22, 2025
• Industry: Information Technology
• Key Function: Data & Analytics

About the Role

The Data Engineer position at IBM is an exciting opportunity for professionals who are eager to leverage their skills in data engineering and big data solutions. In this role, you will be responsible for developing, maintaining, evaluating, and testing big data solutions that meet client needs. You will work closely with data scientists and analysts to ensure they have access to the data they need, making data ingestion and processing a seamless experience. Your expertise in AWS Glue and EMR will be pivotal in building scalable, distributed data systems using the Hadoop ecosystem. Additionally, you will create and optimize data models and ETL processes tailored to our clients’ business requirements. This role not only requires technical skills but also creativity and problem-solving abilities to implement effective solutions in a fast-paced environment.

Required Skills

• Proficiency in Programming: Experience in object-oriented and functional programming languages, including Python, Java, and Scala, is essential for developing efficient data pipelines.
• AWS Expertise: Strong understanding of AWS services, particularly in developing PySpark code for AWS Glue jobs and EMR.
• Big Data Technologies: Knowledge of Hadoop ecosystem and experience with MapR distribution for building scalable data systems.
• Data Analysis: Proven experience in developing Python and PySpark programs for data analysis and creating custom frameworks for rule generation.
• Data Integration: Familiarity with developing Hadoop streaming jobs using Python for API-supported applications and gathering data from HBase.
• SQL Proficiency: Ability to rewrite Hive queries to Spark SQL to enhance performance and reduce batch processing times.
• DevOps Understanding: Knowledge of DevOps practices to streamline data operations and improve collaboration.

Responsibilities

• Pipeline Development: Design and build data pipelines that facilitate smooth data flow from various sources to target systems, ensuring data integrity and quality.
• Data Infrastructure Management: Deploy and manage data infrastructure that can handle the demands of a growing data-driven organization.
• Collaboration: Work in tandem with data scientists and analysts to ensure seamless access to data and support their analytical needs.
• Optimization: Continuously optimize existing data models and ETL processes to improve efficiency and scalability.
• Testing and Evaluation: Regularly evaluate the performance of big data solutions and suggest improvements based on findings.

Why Join IBM?

IBM is not just a company; it’s a community that encourages innovation and creativity. With a strong emphasis on diversity and inclusion, IBM offers a workplace where everyone can thrive. Employees benefit from a culture of continuous learning, with access to various training programs and career development opportunities. The company’s commitment to work-life balance, along with competitive salaries and comprehensive benefits, makes it an attractive workplace for professionals at all stages of their careers. Joining IBM means being part of a global leader in technology, where your contributions can lead to significant advancements in the field of data analytics.

Industry Trends and Position Value

The demand for skilled data engineers continues to rise as organizations increasingly rely on data-driven decision-making. In 2025, data engineering will be at the forefront of technological advancements, making this role more critical than ever. The ability to harness big data effectively is a valuable skill set that opens numerous career opportunities. As businesses seek to optimize their operations and enhance customer experiences, professionals in this field will find themselves in high demand. By stepping into a role at IBM, you will be positioned at the cutting edge of data technology, contributing to impactful projects that shape the future.

How to Apply

If you’re ready to take the next step in your career and join IBM as a Data Engineer, don’t miss this opportunity! Click the button below to learn more and submit your application.

Apply Here