Job Summary:

Supports, develops and maintains a data and analytics platform. Effectively and
efficiently process, store and make data available to analysts and other
consumers. Works with the Business and IT teams to understand the requirements
to best leverage the technologies to enable agile data delivery at scale.

Key Responsibilities:

Implements and automates deployment of our distributed system for ingesting and
transforming data from various types of sources (relational, event-based,
unstructured). Implements methods to continuously monitor and troubleshoot data
quality and data integrity issues. Implements data governance processes and
methods for managing metadata, access, retention to data for internal and
external users. Develops reliable, productive, scalable and quality data
pipelines with monitoring and alert mechanisms that combine a variety of sources
using ETL/ELT tools or scripting languages. Develops physical data models and
implements data storage architectures as per design guidelines. Analyzes complex




data elements and systems, data flow, dependencies, and relationships in order
to contribute to conceptual physical and logical data models. Participates in
testing and troubleshooting of data pipelines. Develops and operates large scale
data storage and processing solutions using different distributed and cloud
based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra,
MongoDB, Accumulo, DynamoDB, others). Uses agile development technologies, such
as DevOps, Scrum, Kanban and continuous improvement cycle, for data driven
application.

Cummins is an equal opportunity employer. Our policy is to provide equal
employment opportunities to all qualified persons without regard to race, sex,
color, disability, national origin, age, religion, union affiliation, sexual
orientation, veteran status, citizenship, gender identity, or other status
protected by law.

📌 Data Engineer 1 (Pune)
🏢 Cummins
📍 Pune