Specialty Development Senior Engineer

Position Description :

Representing the Ford Credit (FC) Data Engineering Organization as a Google Cloud Platform (GCP) Data Engineer, specializing in migration and transformation, you will be a developer part of a global team to build a complex Datawarehouse in the Google Cloud Platform. This role involves designing, implementing, and optimizing data pipelines, ensuring data integrity during migration, and leveraging GCP services to enhance data transformation processes for scalability and efficiency. This role is for a GCP Data Engineer who can build cloud analytics platforms to meet 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 GCP. You will be responsible for designing the transformation and modernization on GCP. Experience with large scale solutions and operationalizing of data warehouses, data lakes and analytics platforms on Google Cloud Platform or other cloud environment 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 the Google Cloud Platform.

Skills Required :

Big Query,, Big Table, Data Flow, Pub / Sub, Data fusion, Data proc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Function, App Engine, AIRFLOW, Cloud Storage, Big Table, Cloud Spanner

Skills Preferred : ETL

Experience Required :

• 5+ years of experience in data engineering, with a focus on data warehousing and ETL development (including data modelling, ETL processes, and data warehousing principles).
• 5+ years of SQL development experience
• 3+ years of Cloud experience (GCP preferred) with solutions designed and implemented at production scale.
• Strong understanding and experience of key GCP services, especially those related to data processing (Batch / Real Time) leveraging Terraform, BigQuery, Dataflow, DataFusion, Data proc, Cloud Build, Air Flow, and Pub / Sub, alongside and storage including Cloud Storage, Bigtable, Cloud Spanner
• Experience developing with micro service architecture from container orchestration framework.
• Designing pipelines and architectures for data processing
• Excellent problem-solving skills, with the ability to design and optimize complex data pipelines.
• Strong communication and collaboration skills, capable of working effectively with both technical and non-technical stakeholders as part of a large global and diverse team
• Strong evidence of self-motivation to continuously develop own engineering skills and those of the team.
• Proven record of working autonomously in areas of high ambiguity, without day-to-day supervisory support
• Evidence of a proactive mindset to problem solving and willingness to take the initiative.
• Strong prioritization, co-ordination, organizational and communication skills, and a proven ability to balance workload and competing demands to meet deadlines

Experience Preferred :

Education Required : Bachelors Degree

Education

Masters in Technology (M.Tech / M.E), Bachelor Of Technology (B.Tech / B.E)

Skills Required

bigtable , Data Flow, data fusion, Dataproc, Compute Engine, App Engine, Airflow, Cloud Storage