ETL Developer​/Engineer

Specific Skill Set Requirements

• Experience with relational database management systems (Oracle/Microsoft SQL Server)
• Familiarity with at least one commonly used programming language
• Knowledge of Software Development Life Cycle and best practices
• Data wrangling experience using a variety of tools and languages
• Experience with SQL
• Strong technical writing and presentation skills
• Data visualization experience in common business intelligence tools (Tableau, D3.js, R/Shiny, SAP Products)
• Familiarity with project management workflow tracking software such as JIRA/Trello
• Experience with lean‑agile principles and framework for project completion
• Capability to design and document conceptual, logical, and physical data models for relational and dimensionally modeled databases
• Interpret process performance outputs and improve workflow performance for affected jobs
• Familiarity with modern source/version control tools (Git, Code Commit, Subversion)
• Familiarity with various raw data source types and how to interpret them (Unstructured
  -JSON/BSON, Flat files, XML, etc.)
• Experience with scripting languages such as R and Python
• Experience interacting with and extracting data from modern web APIs
• Experience with cloud platforms such as AWS and Snowflake

Designs, configures, develops, tests and deploys ELT/ETL processes and self‑service reporting assets to provide data exploration capabilities to end users, while adhering to organizational, departmental, team and governmental standards and regulations. Proactively communicates with data consumers to improve performance of processes connecting to data. Designs and builds data models, contributing to an ongoing review of enterprise architectural standards and designs. Participates in data cleansing and profiling efforts and traces data quality issues to their source.

Provides operational support for systems and applications troubleshooting and maintenance, and ad‑hoc support for incidents related to data warehouses, data sets and data pipelines. Participates in organizational Data Governance for data assets and in enterprise‑wide Agile ceremonies. Works with more experienced team members to capture, document and groom features and stories for Agile/scrum teams. Team members in this position excel at working self‑sufficiently in most activities and know when to engage others.

Provides coaching to less‑experienced Data Engineers.

AI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.