Job Description / Responsibilities
- Works with company leadership to validate development team and technologies being selected are aligned with the business’ goals and vision of the company
- Experience with modern database engines used on-prem and in the cloud
- SQL Server, Oracle, Snowflake, PostgreSQL, Mongo, RedShift
- Familiarity and use of analytics and data integration applications including:
- SQL SSRS/SSIS, Power BI, Tableau, IBM Cognos, AWS Athena/QuickSight, Informatica
- Familiarity and use of Data Orchestration frameworks and managing data from various and disparate sources
- Apache Airflow, Fiorano, AWS Lamba, Pentaho, PySpark
- Provides expert level knowledge and skills in data related technical areas:
- Database administration (DBA), performance and tuning
- Cloud and distributed systems implementation on Azure, AWS or other platforms
- Development of ETL processes and procedures including the development of strategy, procedures/policies, (AWS Lambda, Airflow DAGs, Pentaho ETL)
- Implementation of data observability tools
- Familiar with data science applications including Python Pandas, AWS Glue/PySpark, Git, Databricks, Jupyter Notebooks
- Helps to define enforceable company standards and processes
- Works with current and potential customers to learn about problems and needs from a technical perspective
- Has effective problem-solving abilities and can create solutions for customer problems/needs
- Reviews, creates, and maintains technical/supporting documentation for projects
- Works closely with Managers to understand a customer’s business and helps make the best technical decisions while supporting the customer’s overall goals
- Coordinates with Scrum Master and Managers on status and deliverables
- A development resource to the sprint team when available for development or code reviews
- Responsible for deployment of code to QA, UAT, and production environments
- Responsible for coordinating with Managers for the scheduling and presentation of project demos
- Meets deadlines and estimates
- Offers peer review of code, documentation, and system designs
- Acts as a secondary resource for troubleshooting customer support issues
