[1019] Junior Data Analytics Engineer

Job Details

• The Data Analytics Engineer acts as the bridge between Data Analysts and Data Engineers.
• Partner with business stakeholders to answer questions with data, build dashboards and reporting, and carry out exploratory analysis.
• Developing and maintenance Data Lake & Data Warehouse/ ETLs for transferring data between application databases.

Job Requirements

• Partner with the business stakeholders to plan the data requests, verify data after the development.
• Translate logical and conceptual models into robust, reliable physical data warehouses.
• Develop, and deploy data warehouse processing workflows.
• Data integration for standard structured and unstructured data sources.
• Design and document the database effectively, including data flows, flowcharts, data dictionaries, etc.

Must have:

• 1+ years working with relational database systems such as PostgreSQL, MySQL, MSSQL, etc.
• 1+ years developing in Python or similar C-based language.
• Experience designing and implementing module/interface contracts with Software teams to define the scope of app-to-warehouse integration.
• Demonstrated experience with designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies.
• Experience delivering and/or maintaining data warehouses.
• Demonstrated experience using cloud-based data services in AWS/ Azure/ Google BigQuery.
• Experience with cloud data warehouse for storing data – Amazon RedShift.
• Experience designing and document the database effectively, including data flows, flowcharts, data dictionaries, etc.
• Good communication skills in English.

Nice to have:

• Experience with designing application database.
• Experience with using DB side features to isolate data from applications (stored procedures, views, object-relational mapping methods).
• Familiar with BI tools like DOMO, Sisense, Power BI, or Tableau.
• Experience with using Integration Services/Tool as SSIS /SnapLogic/Pentaho.
• Experience with protected data (PHI and PII), US regulations such as HIPPA