Google Cloud Platform Tech Lead
Apply NowCompany: Sarian, Inc.
Location: Dallas, TX 75217
Description:
Job Role - Google Cloud Platform Tech Lead
Duration - Fulltime
Location - Dallas, TX | Woonsocket, RI
Job Description :
Duration - Fulltime
Location - Dallas, TX | Woonsocket, RI
Job Description :
- 10+ yrs of software development experience and leading teams/projects with full life cycle from Requirements, Estimation, Design, Build, QA, Deployment & post deployment support, Reporting etc
- Advanced skills on - Python, SQL, Java frameworks, Data transformation/processing, Data Ingestion & Integration and working through large transactional data streams
- Led & developed Data platform and have strong
- experience in implementing AI algorithms in to the data platform and run predictive analytics at scale, along with Integrating with multiple source & dispensations systems
- Had deployed and led projects on GCP, BigQuery, Vertex AI along with working on MongoDB, Hive, Kafka
- 5+ years experienced with SAFe Agile framework and project delivery best practices
- 5+ years of experience leading teams at both onshore & offshore across multiple projects
- 5+ years of experience working on Enterprise applications, Data and Analytics, Integration patterns , Security and Enterprise Architecture
- Experience in managing COTS (Commercial off the shelf) products and shared service platforms in an enterprise
- Building & deploying project through DevSecOps / CICD (GIT, Graddle, Jenkins, Maven)
- Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
- Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
- Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
- Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
- Planning and execution of big data solutions using technologies such as Hadoop/Spark
- Defining and managing the flow of data and
- dissemination of information within the organization.
- Integrating technical functionality, ensuring data accessibility, accuracy, and security.
- Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.