5 years

20 - 30 Lacs

Posted:2 weeks ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

In this position...

  • We're seeking a Data Engineer who has experience building data products on a cloud analytics platform. You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise in the Data Factory on Google CloudPlatform (GCP). Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must.
  • The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.
  • Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Responsibilities

What you'll do...

  • You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise Securitization Solution
  • Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must
  • Work in collaborative environment that leverages paired programming
  • Work on a small agile team to deliver curated data products
  • Work effectively with product owners, data champions and other technical experts
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
  • Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google CloudPlatform with solid data warehouse principles
  • Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies

Qualifications

You'll have...

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 5+ years of SQL development experience
  • 5+ years of analytics/data product development experience required
  • 3+ years of Google cloud experience with solutions designed and implemented at production scale
  • Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, Dataflow, Dataproc, etc
  • 2+ Experience working with Airflow for scheduling and orchestration of data pipelines
  • 1+ Experience working with Terraform to provision Infrastructure as Code
  • 2 + years professional development experience in Python

Even better, you may have...

  • In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
  • Experience with development eco-system such as Tekton/Cloud Build, Git
  • Experience in working with DBT/Dataform

Job Type: Contractual / Temporary

Pay: ₹2,000,000.85 - ₹3,000,000.00 per year

Work Location: In person

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