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Ford Motor Company
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Data Engineer

Data Engineer

Ford Motor Company

5 years

0 Lacs

chennai tamil nadu india

Posted:11 hours ago| Platform:

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Skills Required

data analytics engineering design api ai ml addition development leadership software support architecture etl integration code drive automation deployment reporting visualization agile management planning jira gcp database alteryx sql rest qlik power devops monitoring stack react angular python node.js postgresql scrum communication certifications aws azure

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Engineer, you will be responsible for designing, architecting, and delivering end-to-end solutions that replace manual/semi-automated processes with a cloud-enabled, automated, and analytics-driven platform. You will collaborate with business stakeholders, product owners, and engineering teams to define requirements, design and develop the API gateways and analytics and AI/ML. The ideal candidate has deep Data engineering skills, strong cloud and data expertise, and proven experience in building enterprise-grade data analytics products. In addition to hands-on development, you will provide technical leadership, ensure adherence to software engineering best practices, and support product lifecycle management.

Responsibilities

Solution Architecture & Design

Define and implement cloud-native architectures for scalable and secure data platforms.
Design robust ETL pipelines and data integration frameworks.
Create and maintain application and data models, ensuring alignment with business requirements.

API Development

Develop end-to-end solution, from front-end interfaces to back-end services and APIs.
Oversee code quality, architecture reviews, and best practices in software design.
Drive automation in build, deployment, and release management.

Data Analytics & Reporting

Build and optimize analytics and reporting dashboards for actionable insights.
Implement solutions for data visualization, anomaly detection, and trend analysis.

Agile Methodology

Collaborate with Product Management to define the roadmap, technical priorities, and release strategy.
Actively participate in creating development workflows and sprint planning through JIRA

Qualifications

Required Skills & Experience:

Expertise in cloud data architecture (GCP or Azure).
Strong experience in ETL design, data integration, and database management (Alteryx, SQL and NoSQL).
Hands-on experience in API development such as REST, GrapQL and Data streaming platform such as Kafka
Hands on experience with data analytics and visualization tools (Qlik Sense, Power BI, or Tableau).
Familiarity with AI/ML technologies and creating API endpoints
Experience with DevOps practices, CI/CD pipelines, and monitoring tools.

Proficiency in full stack development:

Front-end: React, Angular, or similar frameworks.
Back-end: Python, Node.js or Java
Databases: PostgreSQL, BigQuery, NoSQL
Strong leadership in Agile/Scrum environments with JIRA or similar project management tools.
Excellent problem-solving, architectural thinking, and communication skills

Qualifications:

Bachelor’s or master’s degree or related field.
5+ years of software development experience
Certifications in cloud platforms (AWS/Azure/GCP) is a plus.

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Data Engineer