IBM is Hiring Data Engineers | Spark, Python, SQL, Cloud | Apply Now

IBM Data Engineer Job Opportunity – Drive Innovation with Big Data and Cloud Technologies

Location: Bangalore/Hyderabad/Mumbai, INDIA
Experience Level: Entry to Mid-Level (0–3+ years)
Job Role: Data Engineer
Company: IBM
Employment Type: Full-Time

About the Role:

IBM is seeking talented and driven Data Engineers to join its growing team. In this role, you’ll play a key part in designing, developing, and optimizing data solutions using industry-leading technologies such as Apache Spark, Python, SQL, and cloud platforms. This is a great opportunity to work on impactful projects that influence business outcomes and technological advancement.

Job Description :-

Company:	IBM
Job Role:	Data Engineer
Batches:	Recent Batch
Degree:	Bachelor’s/Master’s Degree
Experience:	Entry to Mid-Level (0–3+ years)
Location:	Bangalore/Hyderabad/Mumbai, INDIA
CTC/Salary:	INR 4.8-12 LPA (Expected)

Key Responsibilities:

• Design and develop robust, scalable, and efficient data-driven solutions that meet business requirements.
• Lead architectural design and implementation of applications using the latest tools and frameworks.
• Optimize and maintain ETL pipelines, ensure high performance, and support agile delivery.
• Integrate data from multiple sources including structured and unstructured formats.
• Leverage emerging technologies to create innovative and future-proof data solutions.
• Provide support and guidance to development teams in solving complex issues.

Required Education:

• Bachelor’s Degree in Computer Science, Information Technology, or a related field

Preferred Education:

• Master’s Degree in a relevant technical discipline

Must-Have Skills:

• Apache Spark / PySpark: Strong understanding of distributed data processing and Spark architecture
• Big Data Tools: Hands-on experience with Hadoop, Kafka, and HDFS
• ETL & Data Modeling: Deep knowledge of data warehousing concepts and pipeline development
• Python Programming: Expertise in data manipulation using Pandas, NumPy, etc.
• SQL: Proficiency in writing complex, optimized SQL queries
• Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud Platform (GCP)

Preferred Skills:

• Ability to design architecture strategies for real-time data monitoring and observability
• Collaborate with cross-functional teams like development, enterprise architecture, and network engineering
• Knowledge of security tools for data protection and fraud detection is an added advantage.

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Why Join IBM?

• Work with one of the world’s most innovative technology companies
• Gain exposure to enterprise-level data systems and tools
• Be part of a collaborative, inclusive, and future-forward work culture
• Continuous learning opportunities and global career growth