Associate Data Engineer
- Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients.
- Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture.
- Build Power BI dashboards and reports that translate data into clear, decision‑ready insights for stakeholders
- Build and maintain data structures and data processing systems (tools, infrastructure, frameworks, services).
- Assist with EIM project definition and planning.
- Implement and troubleshoot deployments.
- Data Modeling
- Assist with conceptual, logical and physical data models.
- Update the Entity Relationship diagrams and Dimensional models.
- Data Integration
- Services
- Build data ingestion tools, metrics, alerts and notifications, metadata management.
- Build data replication services and Change Data Capture (CDC) processes to incrementally update data in the data warehouse / data marts from Ascensus systems of record.
- ETL development
- Follow standards and best practices for implementing ETL tools in support of the EIM vision and reference architecture.
- Build and maintain ETL solutions and platform.
- Participate in creating long term ETL application support model.
- Data Warehouse and Data Marts
- Follow technical standards and specifications addressing performance, security and orchestration of ETL and data warehouse / mart management.
- Build processes for loading data into and extracting data from the warehouse / marts.
- Assist with other tasks and projects as assigned
- N/A
- 1+ years of relevant experience in data/software development, including data warehousing and ETL tools, techniques and technology.
- Bachelor’s degree or equivalent work experience.
- Excellent analytical skills.
- Excellent oral and written communication skills including active listening. Asking appropriate questions, clarifying information and writing clear, concise documents.
- Working experience with SQL.
- Understanding of data modeling techniques.
- Understanding of Data Warehousing and ETL design/tools.
- Working experience with C# Python or other data related programming languages.
- Experience with relational databases: SQL Server, Sybase ASE, Oracle, MySQL.
- Experience with NoSQL databases such as MongoDB, Redis.
- Experience with Fabric.
- Experience with data modeling tools like IDERA’s Embarcadero ER/Studio Data Architect.
- Experience with SSIS.
- Experience with SSAS.
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