Data Engineer – Data Platforms | IBM India | Mumbai, Maharashtra
Job Description
Summary
Join IBM India as a Data Engineer – Data Platforms and accelerate your career in big data, cloud, and analytics. At IBM Consulting, you’ll design, implement, and optimize cutting-edge data solutions, working with innovative technologies like Hadoop, Spark, Scala, and Python. As part of a global leader in technology and consulting, you’ll help businesses across industries modernize their data platforms and drive data-driven decision-making. Ideal for early professionals with 5+ years of experience in big data engineering, this hybrid role offers growth opportunities and hands-on experience in a fast-paced, innovative environment.
📋 Job Details at a Glance
| Job Title | Data Engineer – Data Platforms |
|---|---|
| Location | Mumbai, Maharashtra, India |
| Shift | General (Daytime) |
| Work Arrangement | Hybrid |
| Experience | 5+ Years in Big Data, Hadoop, Spark, Scala, Python |
| Employment Type | Regular, Entry Level |
| Travel | Up to 20% (1 day per week) |
| Tools & Technologies | Hadoop, Spark, Scala, Python, HBase, Hive, AWS (S3, Athena, DynamoDB, Lambda), Jenkins, Git |
| Company | IBM India Private Limited |
✅ Key Responsibilities
- Design, build, and optimize data models and ETL processes aligned with client business needs.
- Develop and maintain scalable data pipelines for Source-to-Target data flow.
- Implement and manage big data solutions using Hadoop, Spark, Scala, and Python.
- Deploy data infrastructure to support rapidly growing data-driven organizations.
- Coordinate data access and security for data scientists and analysts.
- Write efficient Python and PySpark code for data gathering and rule-based framework development.
- Support unit testing, user acceptance testing, and post-deployment operations.
🛠️ Required Skills & Expertise
- Strong experience in Big Data technologies: Hadoop, Spark, Scala, Python.
- Hands-on experience with HBase, Hive, and PySpark.
- Proficient in Python for custom framework development and data analysis.
- Knowledge of AWS services: S3, Athena, DynamoDB, Lambda.
- Experience with Jenkins and Git for CI/CD pipelines.
- Ability to design and implement scalable end-to-end data ingestion solutions.
- Strong understanding of object-oriented and functional programming paradigms.
🎓 Qualifications
- Bachelor’s Degree in Computer Science, IT, or related field.
- Master’s Degree preferred but not mandatory.
- Minimum of 5 years of relevant industry experience.
🌟 Why Work at IBM India?
- Be part of IBM Consulting—a market leader in business and technology transformation.
- Collaborate with top-tier clients across industries.
- Continuous learning and development opportunities.
- Work in a diverse, inclusive environment committed to responsible technology innovation.
🚀 Apply Now
Take the next step in your data engineering career at IBM India.
👉 Apply Now on IBM Careers Page