CU
CumminsData Engineer - Senior 1
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Before you apply
LocationPune, Maharashtra, India
Typefull-time
SenioritySenior
Company size10,000+ people
First seenOct 26, 2026 · 1w ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
Leads projects for design, development and maintenance of a data and analytics platform
Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions
Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured)
Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues
Implements data governance processes and methods for managing metadata, access, retention to data
Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms using ETL/ELT tools or scripting languages
Designs and implements physical data models to define the database structure
Optimizing database performance through efficient indexing and table relationships
Designs, 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)
Uses innovative and modern tools, techniques and architectures to automate common data preparation and integration tasks
Assists with renovating the data management infrastructure to drive automation in data integration and management
Ensures timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban
Coaches and develops less experienced team members
Skills
Data Lakes
Hadoop
Hbase
Cassandra
MongoDB
Accumulo
DynamoDB
ETL
ELT
DevOps
Scrum
Kanban
Job Summary:
Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time.
Key Responsibilities:
Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework 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. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, 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 innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members.
Legal
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.