FOR QUICK APPLY, PLEASE REACH OUT PAWAN SINGH AT 2482133605/PAWANSINGH.RAWAT@STEFANINI.COM

We’re seeking an experienced GCP Data Engineer who can build cloud analytics platform 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 solutions and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform or other cloud environments are 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 the right solutions with an appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform. You will: Work in a 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 Data Warehouse principles. Be the Subject Matter Expert in Data Engineering and GCP tool technologies.

EXPERIENCE REQUIRED

• In-depth understanding of Google’s product technology (or other cloud platforms) and underlying architectures.
• 5+ years of analytics application development experience required.
• 5+ years of SQL development experience.
• 3+ years of Cloud experience (GCP preferred) with solution designed and implemented at production scale.
• Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Google Cloud Storage, Pub Sub, Dataflow, Dataproc, Airflow, etc.
• 2 + years professional development experience in Java or Python, and Apache Beam Extracting, Loading, Transforming, cleaning, and validating data.
• Designing pipelines and architecture for data processing 1+ year of designing and building CI/CD pipelines.
• Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
• Implement methods for automation of all parts of the pipeline to minimize labor in development and production.
• Experience in analyzing complex data, organizing raw data and integrating massive datasets from multiple data sources to build subject areas and reusable data products.
• Experience in working with architects to evaluate and productionalize appropriate GCP tools for data ingestion, integration, presentation, and reporting.

EXPERIENCE PREFERRED

• Experience building Machine Learning solutions using TensorFlow, BigQueryML, AutoML, Vertex AI.
• Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP.
• Experience with DataPlex or Informatica EDC is preferred.
• Experience with development eco-systems such as Git, Jenkins and CICD.
• Exceptional problem solving and communication skills.
• Experience in working with DBT/Dataform.
• Experience in working with Agile and Lean methodologies Team player and attention to detail Performance tuning.

EDUCATION REQUIRED:

• Bachelor’s degree in computer science or related scientific field

EDUCATION PREFERRED:

• GCP Professional Data Engineer Certified.
• Master’s degree in computer science or related field.
• 2+ years mentoring engineers.
• In-depth software engineering knowledge

*LISTED SALARY RANGES MAY VARY BASED ON EXPERIENCE, QUALIFICATIONS, AND LOCAL MARKET. ALSO, SOME POSITIONS MAY INCLUDE BONUSES OR OTHER INCENTIVES**

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.

Please refer the Job description for details