MUST HAVES:
· Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
· Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
· Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
· Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
· Experience with data integration, data cleansing, and data analytics
· Experience with data modeling and design principles for data marts and data warehouses
Experience with designing modern analytics architectures (e.g., data warehouses, data lakes, lakehouses).
Experience and Skill Set Requirements
Responsibilities/Assignment Deliverables – Senior ETL Developer
Designs, develops, and maintains database back-end and ETL applications for Data Warehouse and Business Intelligence solutions. Uses knowledge of ETL languages and development techniques to build and expand application functionality by writing high-quality code using appropriate patterns. Ensures applications remain scalable while complying to standards and following best practices. Tests and debugs applications and ensures that software is properly documented. Collaborates clearly and professionally as part of a development team and communicates with clients.
Mandatory Skills:
Nice to have skills:
Software Developer - Senior - Evaluation Criteria
Description
%
Core Technical Skills
50%
Other Technical Skills
35%
Communications Skills
10%
Standards and Best Practices
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