Job Description

DESCRIPTION

Job Summary:

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

.

Job

Systems/Information Technology

Organization

Cummins Inc.

Role Category

Job Type

Exempt - Experienced

ReqID

2414992

Relocation Package

No

100% On-Site

No