IBM is Hiring for Data Engineer | Freshers & Experienced | Any Graduates can Apply

IBM is offering a career-defining opportunity for data enthusiasts to join as Data Engineers in Business Intelligence. The IBM Data Engineer Jobs provide exposure to cutting-edge analytics, cloud technologies, and data visualization tools like Tableau and SQL. If you are passionate about data-driven decision-making, this role is a perfect fit.

This full-time position is based in Pune, India, and is open to graduates with strong SQL, Python, and data analytics skills.

Company Overview

IBM is a global technology leader in AI, cloud computing, and data analytics. With Fortune 50 companies relying on IBM Cloud, the company is revolutionizing business solutions worldwide.

As part of IBM Data Engineer Jobs, you’ll collaborate with industry leaders, drive business insights, and work with the latest tools in data visualization, ETL, and machine learning.

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Job Details

  • Role: Data Engineer – Business Intelligence
  • Location: Pune, India (On-site)
  • Experience: Freshers & Experienced
  • Qualification: Any Graduate
  • Employment Type: Full-Time

Key Responsibilities

Data Analysis & Visualization

  • Develop and optimize data reports, dashboards, and BI solutions using Tableau
  • Use SQL for querying large datasets and improving data extraction processes
  • Perform root cause analysis for data inconsistencies

Database Management & ETL

  • Create custom SQL queries for real-time data processing
  • Work with databases like Snowflake, MySQL, and PostgreSQL
  • Develop ETL pipelines to automate data workflows

Collaboration & Reporting

  • Work with business teams to translate requirements into data models
  • Debug data inconsistencies and performance issues
  • Ensure data integrity, availability, and security

Who Can Apply?

Technical Skills Required

  • Strong hands-on experience in SQL, Tableau, and Python
  • Knowledge of data visualization techniques & dashboards
  • Experience with ETL workflows and cloud databases (AWS, Snowflake, etc.)

Preferred Skills

  • Understanding of AI-driven analytics and big data technologies
  • Prior experience in data pipeline management and debugging
  • Exposure to data governance and compliance best practices

Educational Qualification

  • Any Graduate with a background in Data Science, Analytics, or Business Intelligence

Salary & Benefits

Competitive Compensation

  • Industry-best package based on experience and skills
  • Additional performance-based incentives

Career Growth & Training

  • Continuous learning through IBM’s AI and data training programs
  • Work with the latest AI, cloud, and data engineering tools

Work-Life Balance

  • Employee-centric work culture with flexible policies
  • Collaborative environment with global data experts

Work Model

This role is on-site in Pune, India, with access to IBM’s world-class infrastructure and mentorship programs.

Application Process

To apply for IBM Data Engineer Jobs, follow these steps:

  1. Online Application – Submit your resume via the official IBM Careers portal
  2. Technical Assessment – Solve SQL and data analytics-based case studies
  3. Panel Interview – Discuss real-world BI challenges with IBM’s data leaders

Selection Process

IBM follows a structured hiring process to onboard the best talent in data engineering:

  1. Technical Assessment – SQL, data processing, and problem-solving tasks
  2. Coding & BI Test – Hands-on evaluation of Tableau & Python skills
  3. HR Interview – Culture-fit discussion and salary finalization

Apply Now

Here is the Apply Link: Click Here

Conclusion

The IBM Data Engineer Jobs offer an exceptional career opportunity for aspiring data professionals. With a focus on business intelligence, AI-driven analytics, and cloud-based solutions, this role is your gateway to working with one of the world’s top tech companies.

Apply today and take the first step toward building a data-driven career with IBM.

Tips for Job Seekers

Enhance Your Technical Skills

  • Gain hands-on experience in SQL, Python, and ETL tools
  • Learn Tableau visualization best practices

Prepare for Assessments

  • Brush up on database optimization, query tuning, and analytics case studies
  • Work on real-time data processing projects

Ace the Interview

  • Demonstrate problem-solving skills with real-world data challenges
  • Be clear on database architectures, BI tools, and cloud analytics

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