Assistant Manager, Data Engineering
Ocwen Financial Corporation.com
Office
Bangalore, India
Full Time
Requisition Template
POSITION SUMMARY: We are seeking an experienced Data Engineer to lead a small team of data engineers in leveraging AWS native technologies such as Lambda and Glue to build a data Lakehouse environment. The ideal candidate will have a strong background in data engineering, a deep understanding of AWS services, and proven leadership skills
Job Functions And Responsibilities
- Lead and mentor a team of data engineers, fostering a collaborative and innovative environment.
- Design, develop, and maintain scalable data pipelines using AWS native technologies including AWS Glue, Lamda etc.
- Implement best practices for data management, including data quality, data governance, and data security.
- Ensure high standards by reviewing architecture, design, and code.
- Collaborate with cross-functional teams to deliver and operate large scale, distributed services in the cloud
- Optimize data workflows for performance and cost-efficiency.
- Own system architecture, scalability, reliability, and performance
- Stay updated with the latest advancements in AWS technologies and data engineering practices
Education / Experience
- BE/B Tech/MSc/MCA – with Specialization in Computer Science/Information Systems.
- 5+ years of non-internship professional software development experience
- Experience with AWS components to build and expand lake house in AWS
- Experience building Python programs across Glue ETL jobs and Lambda functions
- Design & Build S3 buckets, tiers, lifecycle policies, as strategic storage layer for Data Lake
- Experience building applications based on data in both Relational databases (e.g. MySQL), NoSQL databases (e.g. DynamoDB, MongoDB) and filesystems (e.g. S3, HDFS)
- Require 3+ hands-on experience on AWS S3, Spark,Glue ETL & Catalog, Lamba Functions, Athena & Kafka
- 2-3 years of experience in writing SQL Queries.
- Certified on one of - Solution Architect, Data Engineer or Data Analytics Specialty by AWS
Work Schedule Or Travel Requirements
No travel requirements. Mid Shift (2PM – 11PM)
Assistant Manager, Data Engineering
Office
Bangalore, India
Full Time
September 16, 2025