AWS Big Data Architect
Design and Develop scalable Big Data Warehouse solutions across the entire data supply chain.
Create or implement solutions for metadata management.
Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
Extend and enhance the business Data Lake
Solve for complex data integrations across multiple systems.
Design and execute strategies for real-time data analysis and decisioning.
Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
Work closely with the Data Science team to improve actionable data
In data management, data access (Big Data, traditional Data Marts and Data Warehousing).
SQL (including Spark SQL and DataFrames) * Current data warehousing design concepts for utilizing Hbase, Spark, Hadoop, web services, etc to support business-driven decisioning
In data architecture and data assembly
In Data Governance and Data Security with data integration tools
with data manipulation scripting languages
with Business Intelligence, MDM, XML, SOA/WebServices
with Data Science toolsets and technology
Bachelor’s or Master’s degree in computer science/data processing or equivalent
Experience in Data Warehousing or similar analytic data experience
Experience with Java programming and developing frameworks
Experience with Hadoop and Spark
experience with Amazon EMR/EC2 (or equivalent)
2+ years’ experience with Python
Experience with Bitbucket and a solid understanding of core concepts with Git
Familiarity with Linux
Familiarity with Jenkins and CI/CD
A solid understanding of basic core computer science concepts
Experience with AWS technologies such as Aurora, Athena, EMR, Hbase, S3
Experience with Postgres and MySql
Excellent Organizational and Project Management skills