Data Engineer: Business Intelligence (Req ID: 742193BR)

Urgent
Application ends: May 16, 2025
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Job Description

Company: IBM India Private Limited
Location: Pune, Maharashtra, India
Job Type: Full-Time
Experience: 3-5 Years
Education: Bachelor’s degree in Computer Science, Engineering, or a related field
Expected Salary: ₹12 – ₹18 Lakhs per year (Approximately $16,000 – $21,000 per year)
Job Category: Information Technology, Engineering
Website: Website info
Contact: Contact us

About the Role:

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery
Centers), where we deliver deep technical and industry expertise to a wide range of public
and private sector clients around the world. Our delivery centers offer our clients locally
based skills and technical expertise to drive innovation and the adoption of new
technology. As a Data Engineer: Business Intelligence, you will join our team in Pune and
contribute to the design, development, and maintenance of our data infrastructure that
supports advanced business intelligence initiatives. Your work will involve collaborating
with software developers, data scientists, and other technical teams to ensure our systems
deliver actionable insights and support data-driven decision-making.

Key Responsibilities:

  • Data Integration & Pipeline Development:
    Develop and maintain data integration solutions to consolidate data from
    multiple sources (databases, APIs, flat files) into unified formats for analysis
    and reporting. –
    Collaborate with data engineers to optimize and maintain robust data
    pipelines.
  • Data Modeling & Analysis:
    Design and implement data models that identify patterns and trends to
    support business intelligence efforts. –
    Perform quantitative analyses and translate complex data sets into
    actionable insights.
  • Solution Development:
    Assist in defining technical requirements and developing efficient solutions
    to enhance data processing and storage. –
    Work on troubleshooting and debugging issues to ensure data quality and
    reliability.
  • Continuous Improvement:
    Identify and recommend process improvements to increase the efficiency
    of the data platform. –
    Stay updated with the latest trends in data engineering and business
    intelligence tools and technologies.

Technical and Professional Requirements:

Core Skills: Proficiency in Python, with a focus on data analytics packages.

– Strong knowledge of SQL, including advanced SQL queries (joins, relationships, etc.).

– Experience with data visualization tools such as Tableau is an added advantage.

Experience:

3-5 years of experience in data engineering or a similar role.

Additional Competencies:

Ability to translate business requirements into effective data models and solutions.

– Strong troubleshooting, analytical, and problem-solving skills.

– Excellent communication skills and a collaborative mindset.