HOW A DATA ENGINEER ETL WILL MAKE AN IMPACT
Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.
Develop and manage complex data flows, or makes significant enhancements to existing pipelines.
Troubleshoot complex problems and provide customer support for the ETL process.
Resolve complex hardware/software compatibility and interface design considerations.
Conduct investigations and tests of considerable complexity.
Research emerging technologies to determine impact on application execution.
Communicate clearly and effectively with teammates, customers, and external partners.
Prepare written and verbal communications on analyses, findings, and project progress.
Write and maintain technical documentation.
Advise hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements.
REQUIRED TECHNICAL SKILLS
Demonstrated experience with the following languages: Java/J2EE, XML, JSON, Python
Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes.
Demonstrated experience with relational databases (ex - Oracle / MySql).
Demonstrated experience with search architecture and data visualization tools (ex – Tableau, ElasticSearch, ArcGIS).
Familiar with servers operating systems; Windows, Linux, and cloud infrastructure.
Familiar with database methodologies.
Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins).
Familiar with ETL frameworks such as SAFE FME, Petaho, or NiFi.
Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving.
WHAT YOU’LL NEED TO SUCCEED
8+ years of related data engineering and ETL experience