Senior Data Engineer

Ascensus•Newton, MA

1d•Onsite

About The Position

As a Senior Data Engineer at Ascensus, 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. You will be part of the Enterprise Information Management (EIM) team.

Requirements

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.
Excellent analytical skills.
Excellent oral and written communication skills including active listening. Asking appropriate questions, clarifying information and writing clear, concise documents.
Strong knowledge of Oracle PL/SQL or other database programming languages.
Very good understanding of data modeling techniques.
Strong knowledge of Data Warehousing and ETL design/tools.
Good experience with relational databases like Sybase ASE, Oracle, MySQL.
Good knowledge of SSAS.
Good experience utilizing AI Agents for both code generation as well as code and data analysis
Proven experience diagnosing and remediating performance issues
Strong understanding of data storage, partitioning, and retention policies.
Strong understanding of star schema data models
Ability to perform code reviews and provide actionable feedback while reviewing

Nice To Haves

Experience with python for data manipulation and analysis, IE. Pandas, PySpark
Experience with data modeling using IDERA’s Embarcadero ER/Studio Data Architect.
Experience with PowerBI or similar data reporting platforms is a plus.
Experience with CI/CD for database deployments utilizing Liquibase or similar CI/CD tool a plus.

Responsibilities

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.
Use Artificial Intelligence to accelerate development of ETL components and Data Analysis.
Design, 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: Create conceptual, logical and physical data models. Create Entity Relationship diagrams and Dimensional models.
Data Integration 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.
ETL development: Contribute to 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: Develop 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.
Proactively mentor junior staff
Serve in an on-call rotation for production issues / outages
Assist with other tasks and projects as assigned