Data Engineer
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Role : Data Engineer
Location : Newton center, MA (Hybrid)
Rate: $50/hr to $52/hr
As a Senior Data Engineer you will enable data-driven decision making by collecting, transforming and visualizing the data. You will design, build, maintain and troubleshoot data processing systems with emphasis on security, reliability, fault-tolerance, scalability, fidelity, and efficiency.
Section 2: Job Functions, Essential Duties and Responsibilities Essential Job Functions:
• Design, build and maintain data structures and data processing systems (tools, infrastructure, frameworks, services).
• Assist with Data Warehouse project definition and planning.
• Troubleshoot issues as they occur.
• Data Integration
o Services
▪ Design and build data ingestion tools, metrics, alerts and notifications, metadata management.
▪ Design and 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.
o ETL development
▪ Contribute to standards and best practices for implementing ETL tools in support of the DW vision and reference architecture.
▪ Build and maintain ETL solutions on Oracle using PL/SQL Version 06/01/2019 Page 2
▪ Participate in creating a long term ETL application support model. o Data Warehouse and Data Marts
▪ Adhere to technical standards and specifications addressing performance, security and orchestration of ETL and data warehouse / mart management.
▪ Organize metadata and define processes for loading data into and extracting data from the warehouse / marts.
o Quality Control o Peer code review and quality assurance duties throughout the data warehouse project life cycle; creating, executing and updating unit test plans and test cases for necessary projects and application releases.
• Assist with other tasks and projects as assigned `
Section 3: Experience, Skills, Knowledge Requirements Required skills and experience
• 5+ years of relevant experience in data/software development, including data warehousing and ETL tools, techniques and technology.
• Bachelor's degree or equivalent work experience. • Strong knowledge of Data Warehousing and ETL design/tools. • Excellent analytical skills. • Excellent oral and written communication skills including active listening. Asking appropriate questions, clarifying information and writing clear, concise documents. • Extensive Oracle and Pl/SQL experience and skills • Good experience with relational databases like Sybase ASE, Oracle, MySQL. Preferred knowledge, skills and abilities: • Experience with PowerBI, Tableau • Experience with Informatica
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