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Assistant Manager, Data Engineering Job Opening In Bengaluru – Now Hiring PHH Mortgage


Job description

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.

  • + 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 S buckets, tiers, lifecycle policies, as strategic storage layer for Data Lake
  • Experience building applications based on data in both Relational databases ( MySQL), NoSQL databases ( DynamoDB, MongoDB) and filesystems ( S, HDFS)
  • Require + hands-on experience on AWS S, Spark,Glue ETL & Catalog, Lamba Functions, Athena & Kafka
  • - 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 (PM – PM)

    Required Skill Profession

    Other General


    • Job Details

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    The Work Culture

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