Summary
Turnberry Solutions is a consulting firm specializing in data strategy and intelligence. They are seeking an AWS Big Data Engineer to design and develop scalable Big Data Warehouse solutions, enhance data governance, and collaborate with various teams to improve data quality and analytics.
Responsibilities
- 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
- Be open and willing to learn new skills
Skills
- Experience in data management, data access (Big Data, traditional Data Marts and Data Warehousing)
- SQL experience (including Spark SQL and DataFrames) current data warehousing design concepts for utilizing Redshift, Spark, Hadoop, web services, etc to support business-driven decisioning
- Experience in data architecture and data assembly
- Experience in Data Governance and Data Security
- Experience with data manipulation scripting languages
- Experience with Business Intelligence, MDM, XML, SOA/WebServices
- Experience with Data Science toolsets and technology
- Bachelor's or Master's degree in computer science/data processing or equivalent
- Experience with Java programming and developing frameworks
- Experience with Amazon EMR/EC2 (or equivalent)
- 2+ years of 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, S3
- Experience with Postgres and MySql
- Excellent Organizational and Project Management skills
- Outstanding communication skills
- Experience with data integration tools (e.g., Talend (preferred), Cascading)
Qualifications
Must Haves
- Experience in data management, data access (Big Data, traditional Data Marts and Data Warehousing)
- SQL experience (including Spark SQL and DataFrames) current data warehousing design concepts for utilizing Redshift, Spark, Hadoop, web services, etc to support business-driven decisioning
- Experience in data architecture and data assembly
- Experience in Data Governance and Data Security
- Experience with data manipulation scripting languages
- Experience with Business Intelligence, MDM, XML, SOA/WebServices
- Experience with Data Science toolsets and technology
- Bachelor's or Master's degree in computer science/data processing or equivalent
- Experience with Java programming and developing frameworks
- Experience with Amazon EMR/EC2 (or equivalent)
- 2+ years of 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, S3
- Experience with Postgres and MySql
- Excellent Organizational and Project Management skills
- Outstanding communication skills
Nice to Haves
- Experience with data integration tools (e.g., Talend (preferred), Cascading)
Benefits
- Comprehensive healthcare package (medical, dental, vision)
- Disability and group term life insurance
- Health and flexible spending accounts
- Utilization bonus
- 401(k) with match
- Flexible time off for salaried employees
- Parental leave for salaried employees
- Flexible work arrangements