Data Engineering Manager

2 weeks ago

Chennai, Tamil Nadu, India Ford Motor Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Manager, Data Engineering

Responsibilities:

  • Lead and mentor a high-performing teams of local and remote engineers
  • Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed
  • Provide technical expertise and guidance to the team
  • Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines
  • Oversee the design, development, maintenance, scalability, reliability, and performance of the Industrial Systems' data platform pipelines and architecture.
  • Contribute to the long-term strategic direction of the Data Platform with a focus on enterprise use
  • Enforce and ensure data quality, data governance, and security standards
  • Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy
  • Communicate decisions effectively and transparently to internal and external customers
  • Stay updated on industry trends and emerging technologies to inform technical decisions
  • Lead to implement various business customers' requests and logics into the data assets with optimized design and code development

Qualifications Required:

  • Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics
  • 5+ years experience in Industrial Systems data
    (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR)
  • 5+ years of progressive responsibilities in a complex data environment
  • 3+ years' experience leading a software/data engineering team
  • 3+ years of experience in Big Data Environments or expertise with Big Data tools
  • Expertise in Google Cloud Platform
  • Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).

Qualifications Required:

  • Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics
  • 5+ years experience in Industrial Systems data
    (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR)
  • 5+ years of progressive responsibilities in a complex data environment
  • 3+ years' experience leading a software/data engineering team
  • 3+ years of experience in Big Data Environments or expertise with Big Data tools
  • Expertise in Google Cloud Platform
  • Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
Experience LevelMid Level

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