IBM is Hiring for Data Engineer

Job Overview

IBM is looking for a Data Engineer – Business Intelligence to join its IBM Consulting Client Innovation Center (CIC) in Pune. This role offers an exciting opportunity to work on data-driven solutions, advanced analytics, and business intelligence platforms for IBM’s public and private sector clients worldwide.

As a Data Engineer, you will play a crucial role in designing, developing, and optimizing business intelligence solutions, working with Tableau, SQL, ETL pipelines, and cloud-based data warehouses. You will collaborate with cross-functional teams to analyze large datasets, create impactful data visualizations, and provide insights to drive business decisions.

Job Details

• Company: IBM
• Role: Data Engineer – Business Intelligence
• Qualification: Bachelor’s Degree in Computer Science, Engineering, or related field
• Experience: 2+ years in data engineering, analytics, or business intelligence
• Location: Pune, India
• Salary: As per company standards
• Work Model: Full-Time

About IBM

IBM is one of the world’s leading technology and consulting companies, known for its innovations in cloud computing, artificial intelligence, blockchain, and analytics. IBM Consulting is the professional services division of IBM, delivering cutting-edge business and technology transformation solutions to Fortune 500 companies.

IBM Client Innovation Center (CIC) provides deep technical expertise and local delivery capabilities, ensuring seamless digital transformation for businesses worldwide. As part of the IBM team, you will work on high-impact projects, leverage the latest data technologies, and collaborate with global industry leaders.

IBM fosters a culture of continuous learning and growth, providing employees with access to world-class training, mentorship, and career advancement opportunities.

Key Responsibilities

1. Data Analysis & Business Intelligence
   • Gather, analyze, and interpret large datasets to generate actionable insights.
   • Develop and maintain business intelligence dashboards and reports using Tableau.
   • Work closely with stakeholders to understand data requirements and business objectives.
2. SQL & Database Management
   • Write and optimize complex SQL queries to retrieve and manipulate data.
   • Work with various databases (SQL Server, PostgreSQL, MySQL, Snowflake, etc.) to create efficient data models.
   • Ensure data consistency, integrity, and accuracy in BI reports.
3. ETL (Extract, Transform, Load) & Data Pipeline Development
   • Design and implement ETL processes to extract, clean, and transform data from multiple sources.
   • Build automated data pipelines to streamline reporting workflows.
   • Work with cloud-based data warehousing solutions (AWS, Azure, Snowflake, or GCP) to store and manage large datasets.
4. Data Visualization & Reporting
   • Create interactive dashboards and visualizations using Tableau to present insights in an easy-to-understand manner.
   • Develop custom SQL queries to pull data for real-time reporting.
   • Identify trends, patterns, and business opportunities using data-driven insights.
5. Troubleshooting & Performance Optimization
   • Perform root cause analysis on BI issues and troubleshoot report discrepancies.
   • Optimize SQL queries and database structures for improved performance.
   • Work with business users to ensure BI solutions align with business needs.
6. Collaboration & Continuous Improvement
   • Work in a cross-functional team environment, collaborating with data scientists, engineers, and analysts.
   • Stay updated with emerging BI technologies and trends to enhance reporting capabilities.
   • Document best practices, data workflows, and troubleshooting steps for knowledge sharing.

Skills & Requirements

Technical Skills

1. Strong SQL proficiency – experience writing complex queries, stored procedures, and performance tuning.
2. Tableau expertise – ability to create dynamic dashboards, data visualizations, and reports.
3. Experience with ETL processes – knowledge of data extraction, transformation, and loading.
4. Hands-on experience with relational databases – knowledge of PostgreSQL, MySQL, Snowflake, or SQL Server.
5. Basic knowledge of Python – experience with data processing and automation is a plus.
6. Understanding of cloud-based data warehouses – experience with AWS, Azure, or GCP preferred.
7. Troubleshooting capabilities – ability to debug BI reports, SQL queries, and data pipelines.

Analytical & Problem-Solving Skills

8. Ability to analyze large datasets and extract meaningful business insights.
9. Strong attention to detail – ensures accuracy and reliability in reports.
10. Critical thinking skills – ability to interpret data trends and make data-driven recommendations.

Soft Skills

11. Strong communication skills – ability to explain data insights to non-technical stakeholders.
12. Team collaboration – work effectively with cross-functional teams.
13. Proactive approach to learning new technologies and improving existing processes.

Why Join IBM?

1. Work with a global technology leader at the forefront of AI, cloud computing, and business intelligence.
2. Gain hands-on experience in advanced data analytics and business intelligence solutions.
3. Collaborate with industry experts and contribute to cutting-edge projects.
4. Access IBM’s learning resources, certifications, and career development programs.
5. Enjoy a flexible and hybrid work environment that promotes work-life balance.
6. Be part of a diverse and inclusive workplace that values innovation and teamwork.
7. Opportunities for career progression within IBM’s vast global network.
8. Work with top clients across multiple industries, driving impact through data-driven solutions.
9. Competitive salary and benefits package for employees.
10. A culture of continuous learning and professional growth.

Growth & Career Opportunities

This role provides a strong foundation for career growth in:

1. Business Intelligence & Data Analytics – Building data-driven decision-making capabilities.
2. Data Science & AI – Advancing towards AI-powered analytics and machine learning applications.
3. Cloud Data Engineering – Gaining expertise in AWS, Azure, Snowflake, and Google Cloud.
4. ETL & Data Warehousing – Specializing in data integration and storage solutions.
5. Product & Business Strategy – Using data insights to drive business success.

Important Links

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