Data Engineer
Ford Motor Company India
Motor Vehicle Manufacturing · 10,001+ employees
About the role
Design, build, and optimize scalable cloud-based data platforms and pipelines on Google Cloud Platform. Collaborate with cross-functional teams to implement modern engineering practices and drive business insights.
What they look for
Requirements
Requires a bachelor's degree in a related field and 5 to 7 years of experience in data or software engineering. Must have at least 2 years of hands-on experience with cloud-based data processing technologies, specifically GCP.
Full description
- The ideal candidate will have strong experience in data engineering, cloud technologies, and software development, with a passion for building reliable, scalable, and secure data solutions.
Required technical expertise includes:
- Strong proficiency in SQL, Python, and Java.
- Hands-on experience designing, developing, and deploying cloud-based data pipelines using Google Cloud Platform (GCP), including BigQuery, Dataflow, and Dataproc.
- Experience with relational databases such as PostgreSQL and MySQL, as well as NoSQL and columnar databases.
- Understanding of Service-Oriented Architecture (SOA) and microservices-based solutions.
- Knowledge of data governance, security controls, encryption, and data masking techniques.
- Experience implementing CI/CD pipelines and Infrastructure as Code (IaC) using tools such as Terraform and Tekton.
- Ability to monitor, troubleshoot, and optimize cloud workloads for performance, scalability, and cost efficiency.
- Strong analytical, problem-solving, and communication skills.
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