As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
Design data solutions.
Analyze sources to determine value and recommend data to include in analytical processes.
Incorporate core data management competencies including data governance, data security and data quality.
Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
Test data movement, transformation code, and data components.
As a Data Engineer, you will use tools such as Azure,Databricks, Snowflake, SQL, Python, Scala, and Tableau to engineer data pipelines and data models to enhance enterprise reporting and analytics.
Data Structures and Models- Designs and develops the overall database/data warehouse structure based on functional and technical requirements. Designs and develops data collection frameworks for structured and unstructured data.
Data Pipelines and ELT- Designs and applies data extraction, loading, and transformation techniques to connect large data sets from various sources.
Data Performance- Troubleshoots and fixes for data performance issues that come with querying and combining large volumes of data. Adjusts performance for solution accordingly during initial development.