Data Engineer – Data Platforms | IBM
Company Name: IBM India Private Limited
Job Role: Data Engineer – Data Platforms
Job ID: 82077
Area of Work: Data & Analytics / Consulting
Employment Type: Regular / Full-Time
Position Type: Professional
Work Arrangement: Hybrid
Location: Kolkata, West Bengal, India
Shift: General (Daytime)
Travel Required: Up to 20% or 1 day per week
Industry: IT Consulting, Big Data, Analytics
Salary Package: As per IBM company standards
📝 Job Description
IBM is hiring a Data Engineer – Data Platforms for its IBM Consulting Client Innovation Center in Kolkata. In this role, you will work on enterprise-scale big data and analytics platforms, supporting global clients in their hybrid cloud and AI transformation journeys.
As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, ETL workflows, and scalable data infrastructure using modern big data technologies. This role is ideal for experienced professionals who want to work on high-impact data-driven solutions in a leading MNC service-based IT company.
🔧 Roles & Responsibilities
- Develop, test, and maintain big data solutions for enterprise clients
- Design and implement source-to-target data pipelines and workflows
- Build, optimize, and support data models and ETL processes
- Manage scalable data infrastructure for data-driven organizations
- Enable secure and efficient data access for data scientists and analysts
- Work with large-scale structured and unstructured datasets
- Collaborate with cross-functional teams to solve complex data challenges
- Follow Agile methodologies and industry best practices
🧠 Required Technical & Professional Skills
- 5+ years of experience in Big Data and Data Engineering
- Strong hands-on experience with:
- Apache Hadoop & Apache Spark
- Scala and Python (PySpark)
- HBase and Hive
- Experience developing Python and PySpark programs for data analysis
- Hands-on experience with Spark DataFrames and RDDs
- Experience using Hive Context for read/write operations
- Strong understanding of data transformations and business logic implementation
⭐ Good to Have / Preferred Skills
- Cloud exposure: AWS S3, Athena, DynamoDB, Lambda
- CI/CD & DevOps tools: Jenkins, Git
- Experience building custom Python frameworks (rules engines, automation)
- Understanding of DevOps practices
- Experience building scalable end-to-end data ingestion solutions
- Knowledge of object-oriented and functional programming (Python, Java, Scala)
🎓 Educational Qualification
- Required: Bachelor’s Degree
- Preferred: Master’s Degree
🌍 About IBM Consulting
IBM Consulting is IBM’s global professional services organization, delivering business and technology transformation at scale. With deep expertise across industries, IBM Consulting helps organizations modernize using cloud, data, AI, and enterprise platforms while operating responsibly and sustainably.
💼 Your Life @ IBM
IBM offers a growth-driven culture where curiosity, collaboration, and innovation are encouraged. As an IBMer, you will continuously learn, experiment with new technologies, and work in an inclusive environment that values diverse perspectives and long-term career development.
🌟 Why Join IBM?
- Work with Fortune 500 global clients
- Exposure to enterprise big data and analytics platforms
- Hybrid work environment
- Strong learning, certification, and career growth opportunities
- Inclusive and innovation-focused work culture
📌 How to Apply
Interested and eligible candidates can apply through the official IBM careers portal:
👉 Apply Now: click here
(Apply early as roles may close without notice.)
⚠️ Important Note
- This job post is sourced from the official IBM careers website
- Freshertube.com does not charge any fees for job applications
- Do not pay money to any individual or consultancy
📄 Disclaimer
Freshertube.com is an informational job-sharing website and is not a recruitment agency. All job details are collected from official company career pages and trusted public sources. Candidates should always verify job information on the official employer website before applying.
