- Bachelor's degree in a Technical Field: Computer Science, Data Science, Computational Finance, Statistics, Economics and/or Mathematics: Masters Preferred
- 2+ years of experience in data solution, pipeline, mart and/or warehouse development and delivery using agile development methodology or Data Engineering certification with good awareness of the GCP services
- Critical thinking skills to propose solutions, test, and make them a reality.
- 2+ years of experience in a Data Engineering Competency on a public cloud – Google, MS Azure, AWS or or Data Engineering certification with good awareness of the GCP services
- 2+ years Integration and Configuration Scripting in Tekton and Terraform preferred
- 3+ years of experience writing complex SQL
- 1+ years of experience writing data solutions in Python, Java, Scala or Go
- Deep understanding of data service ecosystems including data warehouses, lakes, metadata, meshes, fabrics and analytical use cases
- User experience advocacy through empathetic stakeholder relationship
- Excellent Communication Skills, Verbal and Written, for both internal and external team members
- Strong documentation skills for both technical specifications, customer requirements and github repository documentation
- 2+ years Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, Data Flow, Data Fusion, PubSub / Kafka, Looker Studio and VertexAI
- Experience with Teradata, Hadoop, Hive, Spark and other on-premise/legacy data solutions
- Experience optimizing data solutions and data science/analytical workflows: re-coding/re-developing/re-factoring
- Data Governance concepts including GDPR (General Data Protection Regulation), CCPA (California Consumer Protection Act), PoLP and how these can impact technical architecture
- Minimum of 2 years of experience in a Data Management role including running queries and compiling data for analytics
- Minimum of 2 years of experience in data ingestion, data design, data architecture and data modeling (both transactional and analytic) or Data Engineering certification with good awareness of the GCP services
- Exposure to GCP Technologies or expertise in Java & Angular will have added weightage
- Ability to write complex SQL queries needed to query & analyze data
- Knowledge of data management standards, data governance practices and data quality
- Ability to communicate complex solution concepts in simple terms
- Ability to apply multiple solutions to business problems
- Ability to quickly comprehend the functions and capabilities of new technologies
- Strong Oral and written communication skills undefined
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Description
• Develop and Implement data engineering solutions using standards, templates, patterns and best practices in the Google Cloud Platform
o Full stack data engineering solutions utilizing both structured and unstructured data: development, ingestion, curation, implementation, deployment, automation and monitoring
o Collaborates with the Data Factory Engineering Organization, Data Architecture, PEM, GDIA, Information Technology and Data Consumers to drive data engineering capabilities, product design and proof of concepts, MVPs, to expand understanding, define technical optimization, explore configurations and overcome challenges
o Create high quality, elegant data engineering solutions that focus on cloud-first, encapsulation, repeatability, automation and auditability
o Work as an individual contributor and part of a team to build, test, maintain and troubleshoot data solutions
• Continuously integrates and deploys data solutions via CI/CD
• Use of Test Driven Development and Code Pairing Practices
• Develop and maintain comprehensive documentation for data engineering processes, systems and pipelines, ensuring clarity, transparency and customer requirements
Required Skills
Desired Skills