Enterprise Data/Integration Developer
| Company | Esri |
|---|---|
| Location | West Redlands, Redlands, CA, USA |
| Salary | $83720 – $141440 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level |
Requirements
- 2+ years of experience developing in Azure Data Lake, Data Factory and/or SQL Server with 1 year of experience with commercial solutions used for messaging and microservices including API management with SOA, ODATA, queue management, and an enterprise service bus
- Knowledge of azure data platform, data structures, data warehousing, statistics, and analytic models
- Experience with integration and/or ETL solutions including hands-on experience at least one of Oracle 19c or greater, Microsoft SQL Server 2022 or greater, MuleSoft, or Azure Data Factory
- Strong interpersonal, verbal, and written communication skills
- Ability to work both independently and in a team environment
- Knowledge of the development and management required for ETL, ELT, REST, and SOAP implementations
- Experience in SQL and at least one other language such as Python, R, MDX, C#, Java, or JavaScript
- Development experience with RDBMS (Microsoft SQL Server) in both transactional and analytic/EDW models
- Ability to analyze and document complex business processes and project details
- Working knowledge of core business platforms (SAP, Salesforce, Adobe, ServiceNow, Microsoft)
- Bachelor’s in computer science or related STEM field
Responsibilities
- Work collaboratively with the team to develop data pipelines, data enrichment, and performance metrics
- Deliver high quality and highly efficient ETL and/or messaging solutions based on a standard framework
- Implement enterprise integrations that result in scalable, flexible, and highly available solutions that perform well under high traffic
- Partner with internal teams to develop and support effective data solutions
- Apply standards to support enterprise privacy and compliance needs
- Understand and implement secure credential management options and proper encryption practices
- Control integration quality and develop ways to detect and correct anomalies with data exchange
Preferred Qualifications
- Experience working in agile environments and practicing SAFe/scrum/DevOps
- Knowledge of data management best practices, processes, tools, standards, and methodologies
- Experience/Exposure to cloud data tools (DocumentDB, Data Lake, Synapse, NoSQL, Hadoop/Spark, Data Bricks, Glue, Data Factory
- Development experience in the cloud (AWS, Azure)