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IBM Hiring Data Engineer – Advanced Analytics in Bangalore | Cloud, AI & ETL Career Opportunity

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Data Engineer – Advanced Analytics at IBM Bangalore: Transform Your Career in AI and Cloud Innovation

Location: Bangalore, Karnataka, India
Employment Type: Full-Time | Regular
Work Arrangement: Onsite
Shift: Rotational
Job ID: 10705
Department: Enterprise Operations
Company: IBM India Private Limited

Introduction to the Opportunity

Are you ready to take your career to the next level in the world of data engineering and advanced analytics? IBM, one of the most respected names in global technology and innovation, is currently hiring a Data Engineer – Advanced Analytics to join its Consulting division in Bangalore. This is more than just a job; it’s an invitation to be part of a mission to digitally transform industries using AI, hybrid cloud, and cutting-edge data platforms.

If you are passionate about building next-generation data pipelines, working on cloud-based architectures, and solving complex problems with data-driven strategies, then this role at IBM is tailor-made for you.

About IBM Consulting

IBM Consulting is the professional services and transformation arm of IBM, dedicated to delivering deep industry expertise and technology solutions. With a presence in over 175 countries and a client base that includes many Fortune 50 companies, IBM Consulting helps organizations reimagine their businesses with cloud, AI, and data innovation.

In this role, you will work with IBM’s Business Process Outsourcing (BPO) team—a vital part of IBM Consulting that accelerates business outcomes through agile methodologies, AI-driven workflows, and process mining tools.

Your Role and Key Responsibilities

As a Data Engineer, your primary responsibility is to develop robust, scalable, and efficient data pipelines and analytics solutions for diverse industry clients. You will be instrumental in turning raw data into actionable insights, ensuring high data integrity and performance.

Your responsibilities will include:

  • Designing, developing, and maintaining end-to-end batch and real-time data pipelines.

  • Building future-ready data architectures that support cloud transformation and analytics.

  • Collaborating with cross-functional teams to understand business requirements and translate them into data models and processing solutions.

  • Testing and debugging data workflows to ensure quality and reliability.

  • Leveraging modern ETL tools, data integration technologies, and cloud services to support advanced data processing.

  • Leading junior data engineers and overseeing project deliverables.

  • Applying best practices in data governance, security, and compliance.

  • Documenting workflows, code, and architecture for maintainability and scalability.

Core Skills and Qualifications

Educational Background

  • Required: Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.

  • Preferred: Master’s Degree in Data Science, Analytics, or a relevant technical discipline.

Professional Experience

  • Minimum of 5+ years of hands-on experience as a Data Engineer or in a similar role.

  • Strong expertise in data modeling, business systems design, and data architecture.

  • Experience in leading data transformation projects, especially in enterprise environments.

Technical Proficiencies

  • Proficient in IBM DataStage and other leading ETL tools.

  • Skilled in cloud-based ETL services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow).

  • Expert-level knowledge in T-SQL, with the ability to write optimized and maintainable queries.

  • Strong understanding of data warehouse schemas, OLAP techniques, and BI reporting integration.

  • Familiar with big data technologies like Hadoop, Spark, Hive, and Kafka (preferred).

  • Hands-on experience with cloud platforms such as IBM Cloud, AWS, Azure, or GCP.

Soft Skills & Interpersonal Capabilities

  • Proven leadership and mentoring skills for managing junior team members.

  • Effective decision-making abilities with a focus on priority management.

  • Strong communication and presentation skills for cross-functional collaboration.

  • Ability to translate technical solutions into clear business language.

  • Analytical thinking with a solution-oriented approach to problem-solving.

Life at IBM: What to Expect

Culture of Innovation

IBM thrives on innovation. As a Data Engineer, you will be encouraged to challenge conventional thinking, explore new ideas, and experiment freely. The organization provides ample opportunities to engage in research, contribute to internal tools, and innovate using AI and data science.

Learning and Career Growth

You’ll be surrounded by a community of mentors, technical experts, and career coaches. IBM offers continuous learning through certifications, workshops, and on-the-job training in the latest data and cloud technologies.

Work Environment

Expect a workplace built on diversity, inclusion, and collaboration. IBM’s culture fosters empathy, respect, and transparency, enabling all employees to thrive—regardless of background or personal identity.

IBM’s Commitment to Equal Opportunity

IBM is proud to be an equal opportunity employer. The company does not discriminate based on race, gender, age, disability, religion, or any other protected status. IBM is also committed to complying with fair employment practices regarding immigration and citizenship.

About IBM

Founded in 1911, IBM has consistently redefined itself through relentless innovation. From mainframes to quantum computing, and from blockchain to artificial intelligence, IBM continues to be a pioneer in technological advancement. Today, IBM stands as one of the largest tech and consulting companies in the world, with a global footprint that impacts millions of lives.

The IBM Cloud and AI platforms, in partnership with Red Hat, serve as the backbone of enterprise innovation for thousands of businesses across various sectors including healthcare, finance, manufacturing, and retail.

Who Should Apply

This role is ideal for you if:

  • You are passionate about data-driven decision-making.

  • You have hands-on experience in ETL development and data engineering.

  • You want to work with leading-edge technologies in cloud, AI, and analytics.

  • You are seeking a career path with global visibility and continuous learning.

  • You want to be part of a team that transforms industries using data.

Job Details Recap

  • Job Title: Data Engineer – Advanced Analytics

  • Job ID: 10705

  • Location: Bangalore, Karnataka, India

  • Work Arrangement: Onsite

  • Shift Type: Rotational

  • Department: Enterprise Operations

  • Employment Type: Regular, Full-Time

  • Travel Required: None

  • Commissionable Role: No

How to Apply

Ready to elevate your data engineering career with IBM?

👉 Click the “Apply Now” button on IBM Careers Portal or LinkedIn to start your journey.

Be sure to tailor your resume to highlight your experience in data transformation, ETL pipeline development, and cloud data engineering.

Apply Here

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