Cummins India•7 days ago
Data Engineer 11
Recruiter Fit Breakdown & Candid Summary
1
This role involves building and maintaining scalable data pipelines, implementing data governance, and working with distributed storage systems.
2
The ideal candidate has strong hands-on experience in ETL/ELT development, data modeling, and cloud or distributed database technologies.
3
Candidates lacking foundational data engineering skills or experience with distributed data platforms should not apply.
4
The position operates onsite in Pune, India, focusing on agile data delivery and cross-functional collaboration.
Role Responsibilities
- 1Implement and automate deployment of distributed systems for ingesting and transforming data from relational, event-based, and unstructured sources.
- 2Implement methods to continuously monitor and troubleshoot data quality and data integrity issues.
- 3Develop reliable, efficient, scalable, and quality data pipelines with monitoring and alert mechanisms using ETL/ELT tools or scripting languages.
- 4Develop physical data models and implement data storage architectures according to design guidelines.
- 5Analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
- 6Develop and operate large-scale data storage and processing solutions using distributed and cloud-based platforms.
Skills Matrix
Must-Have Skills
ETL(Extract Transform Load)
Data Modeling
Distributed Systems
Data Quality
Data Governance
Agile Methodologies(Scrum)
Nice-to-Have Skills
Hadoop
MongoDB
Cassandra
DevOps
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