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Stefanini is looking for a Senior Software Engineer at Remote (EST OR CST Time Zone) For quick apply, please reach out to Mohit Basson: Phone:brEmail: Position Description: Position Description: We're seeking an experienced Google Cloud Platform Data Engineer who is familiar with 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 (Google Cloud Platform). You will be responsible for designing the transformation and modernization on Google Cloud Platform, as well as landing data from source application to Google Cloud Platform. Experience with large scale solution and operationalization 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 Google Cloud Platform and 3rd party technologies for deploying on Google Cloud Platform. You will: Validate and release applications using continuous integration and continuous delivery tools. 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.
Primary Skills Required: Work as part of 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. This includes designing and deploying a pipeline with automated data lineage. Identify, develop, evaluate and summarize Proof of Concepts to prove out solutions. Test and compare competing solutions and report out a point of view on the best solution. Integration between Google Cloud Platform Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Compose, Cloud SQL, Compute Engine, Cloud Functions, and App Engine. Additional Skills Preferred: Strong drive for results and ability to multi-task and work independently - Self-starter with proven innovation skills - Ability to work with cross-functional teams and all levels of management - Demonstrated commitment to quality and project timing - Demonstrated ability to document complex systems - Experience in creating and executing detailed test plans Experience Required: In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures 5+ years of application development experience required. 5+ years of SQL development experience 3+ years of Google Cloud Platform experience Experience working in Google Cloud Platform based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow etc. 2 + years professional development experience in Java or Python. Work with data team to analyze data, build models and integrate massive datasets from multiple data sources for data modelling Implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management Extracting, Loading, Transforming, cleaning, and validating data Designing pipelines and architectures for data processing 1+ year of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java/ Python etc. 1+ year of hands-on Google Cloud Platform experience with a minimum solution designed and implemented at production scale. Additional Experience Preferred Architecting and implementing next generation data and analytics platforms on Google Cloud Platform Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in Google Cloud Platform Experience with Informatica EDC is preferred. Experience with development eco-system such as Git, Jenkins and CICD. Exceptional problem solving and communication skills. Experience in working with Agile and Lean methodologies. Team player and attention to detail Performance tuning experience Education Required: Bachelor's degree in computer science or related scientific field IT or related Associated topics: data architect, data center, data integrity, data manager, data management, data scientist, data warehousing, sql, sybase, Teradata Additional Education Preferred Master's degree in computer science or related field Google Cloud Platform Professional Data Engineer Certified 2+ years mentoring engineers In-depth software engineering knowledge About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like Americas, Europe, Africa and Asia, and more than 400 clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting, company with global presence. We are CMM Level 5 company.