Data Engineer – Data Warehouse at IBM Consulting, Bangalore
Location: Bangalore, Karnataka, India (Hybrid)
Employment Type: Full-Time, Professional
Department: Software Engineering
Work Arrangement: Hybrid
Company: IBM India Pvt. Ltd.
🌐 Reimagine the Data Engineering Landscape with IBM
Are you passionate about transforming data into actionable intelligence? Do you thrive in a collaborative environment where cutting-edge cloud platforms, real-time processing, and robust data modeling intersect? If so, IBM invites you to bring your expertise to its Client Innovation Center in Bangalore as a Data Engineer – Data Warehouse.
As part of IBM Consulting, you will contribute to solving some of the most complex challenges across industries. Working in one of IBM’s global delivery centers, this role offers the chance to work on impactful projects for both public and private sector clients. You’ll be empowered to drive innovation, implement scalable data architecture, and harness cloud-native tools for the future of enterprise intelligence.
🧠 Role Overview: A Career at the Core of Big Data
As a Data Engineer, you will design, build, and maintain advanced data pipelines that enable seamless data ingestion, transformation, and analysis. You will be instrumental in implementing enterprise data warehouse solutions and ensuring they scale to support large volumes of structured and unstructured data.
You’ll collaborate with cross-functional teams including data scientists, architects, business analysts, and software developers to deliver end-to-end data engineering solutions. From predictive modeling to real-time data streaming, you’ll help organizations derive maximum value from their data assets.
✅ Key Responsibilities
As a Data Engineer at IBM, your primary duties will include:
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Data Pipeline Development:
Design, develop, and maintain efficient and reusable data pipelines using DBT (Data Build Tool), SQL, and AWS-native tools. Ensure data transformation is scalable and performance-optimized. -
Cloud Data Warehousing:
Implement and manage cloud-based data warehouse platforms such as AWS Redshift, ensuring optimal architecture, security, and data governance. -
Model Implementation:
Develop and validate predictive and statistical models by applying machine learning techniques and supporting enterprise search implementations (e.g., Elasticsearch, Splunk). -
Real-Time & Batch Processing:
Handle real-time and batch data processing requirements with reliability and speed. -
Agile Development:
Collaborate in Agile squads alongside data scientists, engineers, and consultants to solve business challenges using modern analytical frameworks. -
Data Cleansing & Integration:
Build scripts or ETL programs that clean, merge, and prepare data from various sources into a centralized warehouse or data lake. -
Stakeholder Collaboration:
Communicate clearly with business and technical stakeholders to understand requirements, refine data models, and ensure successful delivery of insights.
📚 Required Qualifications & Skills
IBM seeks technically skilled professionals who are adaptable, solution-oriented, and ready to evolve in a fast-paced consulting environment.
Education:
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Required: Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related technical field
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Preferred: Master’s Degree in Data Science, Analytics, or Engineering
Experience & Technical Proficiency:
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SQL Expertise:
Advanced proficiency in writing complex SQL queries for data manipulation and analysis. -
DBT (Data Build Tool):
Demonstrated hands-on experience with DBT for building and maintaining data transformation pipelines. -
Data Warehousing:
Solid knowledge of data warehouse design principles, star/snowflake schemas, and performance tuning. -
Cloud Platforms:
Practical experience with AWS or similar cloud platforms. Exposure to Redshift is an advantage.
💡 Preferred Qualifications
While not required, the following competencies will elevate your candidacy:
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Experience working with data lakes, structured/unstructured data, or NoSQL systems.
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Familiarity with data modelling tools, ETL tools, or workflow orchestration frameworks like Airflow.
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Understanding of machine learning pipelines, statistical modelling, or AI integration into data engineering.
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Exceptional verbal and written communication to translate data insights for both technical and non-technical audiences.
🔎 About IBM Consulting
IBM Consulting is a global leader in business transformation, digital reinvention, and technology enablement. Through its Client Innovation Centres, IBM partners with clients to co-create AI-powered and cloud-native solutions that accelerate time-to-value and enterprise growth.
As part of IBM Consulting, you’ll work at the intersection of business and technology—deploying systems that are as intelligent as they are scalable. Our teams are industry-diverse, client-focused, and solution-driven.
🚀 Why Choose IBM for Your Data Engineering Career?
IBM doesn’t just offer a job—it offers a platform for your growth and a launchpad for your ideas. Here’s why IBM is the right place for data engineers:
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Work with Cutting-Edge Technologies:
Be at the forefront of cloud, data science, and AI advancements with hands-on exposure to tools like AWS, Redshift, DBT, and Splunk. -
Global Client Projects:
Gain experience working on meaningful projects for Fortune 500 clients across industries including healthcare, finance, retail, and government. -
Career Development & Certification Paths:
Access top-tier learning portals, industry certifications, and mentorship programs designed to continuously expand your expertise. -
Inclusive Culture:
Join a diverse, supportive environment that values innovation, collaboration, and personal accountability. -
Hybrid Work Flexibility:
Balance on-site innovation with remote productivity through IBM’s hybrid work arrangement.
⚖️ Diversity & Equal Opportunity Commitment
IBM is proud to be an equal-opportunity employer. All qualified candidates are encouraged to apply, regardless of:
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Race
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Religion
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Gender
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Gender identity or expression
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Sexual orientation
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National origin
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Disability
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Age
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Caste or veteran status
IBM also complies with all applicable employment regulations regarding citizenship and immigration.
🧾 Job Snapshot
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Job Title: Data Engineer – Data Warehouse
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Job ID: 31677
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Location: Bangalore, Karnataka, India
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Work Arrangement: Hybrid (Remote & Onsite)
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Department: Software Engineering
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Employment Type: Regular, Full-Time
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Level: Professional
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Travel Requirement: Up to 20% or 1 day per week
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Shift: General (Daytime)
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Company: IBM India Private Limited
💼 How to Stand Out
To enhance your application:
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Include detailed project experience involving SQL queries, DBT transformations, or AWS data services.
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Highlight achievements related to data integration, real-time analytics, or predictive modelling.
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Mention certifications such as AWS Certified Data Analytics, Google Cloud Data Engineer, or Snowflake SnowPro.
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Emphasize your collaborative contributions in Agile or DevOps teams.
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Demonstrate clarity in presenting complex technical results to non-technical stakeholders.
👤 Ideal Candidate Persona
Meet Ramesh, a mid-level data engineer with:
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3+ years of experience in building SQL pipelines and managing cloud-based data warehouses.
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Hands-on knowledge of Redshift, DBT, and AWS S3 integration.
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Strong background in Agile team collaboration and real-time data reporting solutions.
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Career aspirations to lead cloud transformation initiatives for enterprise clients.
The IBM Consulting role offers Ramesh an ideal platform to grow, influence, and lead in a forward-thinking environment.
📢 Ready to Engineer the Future of Data?
The Data Engineer – Data Warehouse position at IBM is more than a technical role—it’s a gateway to shaping how global enterprises extract insight from data. You’ll work on mission-critical systems, contribute to real-world transformation, and innovate at scale.
Apply now to join IBM Consulting in Bangalore, and transform enterprise intelligence—one data stream at a time.