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2 Weeks ago

Data Engineer

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Mumbai, Maharashtra, India
Information Technology
Full-Time
Cummins West Africa Limited

Overview

Description

Cummins is seeking a skilled Data Engineer to support the development, maintenance, and optimization of our enterprise data and analytics platform. This role involves hands-on experience in software development , ETL processes , and data warehousing , with strong exposure to tools like Snowflake , OBIEE , and Power BI . The engineer will collaborate with cross-functional teams, transforming data into actionable insights that enable business agility and scale.

Please Note: While the role is categorized as remote, it will follow a hybrid work model based out of our Pune office .

Key Responsibilities

  • Design, develop, and maintain ETL pipelines using Snowflake and related data transformation tools.
  • Build and automate data integration workflows that extract, transform, and load data from various sources including Oracle EBS and other enterprise systems.
  • Analyze, monitor, and troubleshoot data quality and integrity issues using standardized tools and methods.
  • Develop and maintain dashboards and reports using OBIEE , Power BI , and other visualization tools for business stakeholders.
  • Work with IT and Business teams to gather reporting requirements and translate them into scalable technical solutions.
  • Participate in data modeling and storage architecture using star and snowflake schema designs.
  • Contribute to the implementation of data governance , metadata management , and access control mechanisms .
  • Maintain documentation for solutions and participate in testing and validation activities.
  • Support migration and replication of data using tools such as Qlik Replicate and contribute to cloud-based data architecture .
  • Apply agile and DevOps methodologies to continuously improve data delivery and quality assurance processes.

Responsibilities

Competencies:

  • Data Extraction & Transformation – Ability to perform ETL activities from varied sources with high data accuracy.
  • Programming – Capable of writing and testing efficient code using industry standards and version control systems.
  • Data Quality Management – Detect and correct data issues for better decision-making.
  • Solution Documentation – Clearly document processes, models, and code for reuse and collaboration.
  • Solution Validation – Test and validate changes or solutions based on customer requirements.
  • Problem Solving – Address technical challenges systematically to ensure effective resolution and prevention.
  • Customer Focus – Understand business requirements and deliver user-centric data solutions.
  • Communication & Collaboration – Work effectively across teams to meet shared goals.
  • Values Differences – Promote inclusion by valuing diverse perspectives and backgrounds. Education, Licenses, Certifications:
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline.
  • Certifications in data engineering or relevant tools (Snowflake, Power BI, etc.) are a plus.

Experience

Must have skills:

  • 5–7 years of experience in data engineering or software development , preferably within a finance or enterprise IT environment.
  • Proficient in ETL tools , SQL , and data warehouse development .
  • Proficient in Snowflake , Power BI , and OBIEE reporting platforms. Must have worked in implementation using these tools and technologies.
  • Strong understanding of data warehousing principles , including schema design (star/snowflake), ER modeling, and relational databases.
  • Working knowledge of Oracle databases and Oracle EBS structures.

Preferred Skills

  • Experience with Qlik Replicate , data replication , or data migration tools.
  • Familiarity with data governance , data quality frameworks , and metadata management .
  • Exposure to cloud-based architectures, Big Data platforms (e.g., Spark, Hive, Kafka), and distributed storage systems (e.g., HBase, MongoDB).
  • Understanding of agile methodologies (Scrum, Kanban) and DevOps practices for continuous delivery and improvement.

Qualifications

Why Join Cummins?

  • Opportunity to work with a global leader in power solutions and digital transformation.
  • Be part of a collaborative and inclusive team culture.
  • Access to cutting-edge data platforms and tools.
  • Exposure to enterprise-scale data challenges and finance domain expertise .
  • Drive impact through data innovation and process improvement .
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