Data Engineer Supervisor/Manager

3 weeks ago

Chennai, India Ford Full time

Job Description

We are seeking an experienced Manager to lead a team responsible for the development and maintenance of our Connected Vehicle enterprise data and data products. The ideal candidate will have a strong technical background in data and/or software engineering, along with proven leadership and management skills. This role requires the ability to design and code streaming solutions, prioritize team tasks, make timely decisions, run results-focused meetings, and guide the team to deliver high-quality results. The leader must be knowledgeable in data governance, customer consent, and security standards.

Responsibilities:

- Lead and mentor a high-performing team 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 connected vehicle data platform pipelines and architecture. Contribute to the long-term strategic direction of the Connected Vehicle Data Platform with a focus on enterprise use.
- Communicate decisions effectively and transparently to internal and external customers.
- Accurately and routinely track all prioritized work in JIRA to support both financial delivery tracking
- Enforce and ensure data quality, data governance, and security standards.
- Lead implementation and delivery of various business customers requests and logic into the data assets with optimized design and code development.
- Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy.
- Stay updated on industry trends and emerging technologies to inform technical decisions.

Qualifications Required:

- Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics.
- 5 years of progressive responsibilities in a complex streaming data environment.
- 5+ years experience leading a software/data engineering team.
- 5+ years of experience in Big Data Environments or expertise with Big Data tools.
- Expertise in Google Cloud Platform and Services for End-to-End Data Engineering
- Expert knowledge and hands on experience in DevOps and SDLC.
- Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
- Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies.
- Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability.

Even better you may have:

- Expertise in other public cloud environments: Amazon Web Services, Microsoft Azure, etc.
- Hands on experience on AI Engineering

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