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Data Engineer at Ford Motor Company

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, SQL, Python, Java, Apache Beam, BigQuery, Terraform, Dataflow, Airflow, BigTable, PubSub, Tekton, Microservices, ETL, Data Warehousing, Agile

Industry

Motor Vehicle Manufacturing

Description

We’re seeking an experienced GCP Data Engineer who can build cloud analytics platforms to meet ever expanding business requirements with speed and quality using lean Agile practices. You will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP). You will be responsible for designing the transformation and modernization on GCP, as well as landing data from source applications to GCP. Experience with large scale solution and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform or other cloud environments is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform. You will: * Work in collaborative environment including pairing and mobbing with other cross-functional engineers * Work on a small agile team to deliver working, tested software * Work effectively with fellow data engineers, product owners, data champions and other technical experts * Demonstrate technical knowledge/leadership skills and advocate for technical excellence * Develop exceptional Analytics data products using streaming, batch ingestion patterns in the Google Cloud Platform with solid Datawarehouse principles * Be the Subject Matter Expert in Data Engineering and GCP tool technologies

Responsibilities

Design and build cloud analytics platforms on GCP using lean Agile practices to support enterprise data assets. Responsible for landing data from source applications and developing data products using streaming and batch ingestion patterns.