10741 - Data Engineer I

Essential Functions:

Develops and maintains scalable data pipelines that connects well with new API integrations to support continuing increases in data volume and complexity.
Collaborates effectively with business functional and analytic teams to improve data models that support business intelligence tools, increasing data accessibility and fostering data-driven decision making across the enterprise.
Implements processes and systems to monitor data quality, ensuring production data is always validated, accurate, and available for key stakeholders and business orgs that depend on it.
Contributes to platform sustainability and quality through written unit/integration tests, engineering store, and documented version control.
Performs data analysis required to troubleshoot and debug data related issues and assist in resolving said issues.
Defines company data assets (data models), schema, and SQL scripting jobs that populate data models and report visualization entities.
Evaluates open source and vendor tools for data lineage and designs data integrations and data quality framework where necessary.
Closely aligned with all business units and back-end teams to assist in the sustainability of the required data model and platform architecture.
Utilize and analyze company data, industry reports, and public information to support business intelligence and provide recommendations.
Use data visualization tools and reporting platforms to create dashboards and reports that help organization understand trends, identify opportunities, and address challenges.
Support in creating analytical reports to summarize findings and share with stakeholders.
Data Engineer Qualifications / Skills:
Knowledge of data technology solution best practices for Enterprise IT operations
Ability in designing, constructing, and managing data warehouse storage solutions for the business
Experience with or knowledge of designing, building, and maintaining data processing systems
Experience with or knowledge of Agile Software Development methodologies
Excellent problem solving, troubleshooting, and documentation skills with a customer-centric approach

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Basic Requirements:

BS or MS degree in Computer Science or other related technical field
Knowledge of Python, R, or Java development experience
Knowledge of SQL experience (No-SQL experience is a plus)
Knowledge of experience with schema design and dimensional data modeling
Good understanding of data IoT and well-known data management applications: Oracle Database, SAP HANA, AWS Solution Stack, RDMS, Snowflake, Databricks, etc.
Understanding data visualization development applications such as: Tableau, QlikView, Quicksight, etc
Advanced Excel knowledge using features such as pivot tables, v-lookups, and macros
Proficient in Microsoft Word, Excel, and PowerPoint required. Advanced skills in Excel formulas and data analysis preferred.
A fast learner with the ability to learn new software and technologies quickly with minimal guidance

Salary range: $69,390 to $90,200

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10741 - Data Engineer I