Cloud Data Engineer Mid-level

SQL DEVELOPMENT, WAREHOUSING CONCEPTS, AND WORKLOAD MANAGEMENT

PYTHON - SPECIFICALLY WITH STREAMLIT DEVELOPMENT

COALESCE - EXPERIENCE BUILDING TRANSFORMATIONS IN COALESCE

GIT- VERSION CONTROL AND COLLABORATIVE DEVELOPMENT WORKFLOWS

GOOD TO HAVE:

EXPERIENCE WITH SNOWFLAKE ADVANCED FEATURES:

STREAMS/TASKS, DYNAMIC TABLES, SNOWPIPE, EXTERNAL TABLES, ZERO-COPY CLONING

FAMILIARITY WITH CLOUD ECOSYSTEMS (AZURE/AWS/Google Cloud Platform), OBJECT STORAGE, AND IAM PATTERNS

EXPOSURE TO EVENT STREAMING (KAFKA/KINESIS/EVENT HUBS) AND CDC TOOLS

EXPOSURE TO END-USER REPORTING AND/OR VISUALIZATION TECHNOLOGIES

GENAI DEVELOPMENT EXPERIENCE (COCO, COPILOT)

EXPERIENCE LEVEL: MID LEVEL, 3- 7 YEARS OF EXPERIENCE IN SQL/SNOWFLAKE; 1-2 IN COALESCE; 2+ IN PYTHON

ONSHORE LOCATION: CANDIDATE IS EXPECTED TO WORK ONSITE IN UPC

DESIRED PROFILE:

VERY STRONG IN ADVANCED SQL: ADVANCED JOINS, WINDOW FUNCTIONS, CTES, PERFORMANCE CONSIDERATIONS

STRONG COMMUNICATION SKILLS AND ABILITY TO TRANSLATE BUSINESS REQUIREMENTS INTO DATA SOLUTIONS.

STRONG PROBLEM SOLVING SKILLS AND DATA ENGINEERING FUNDAMENTALS.

STRONG AUTOMATION MINDSET WITH A DRIVE TO ELIMINATE MANUAL WORK.

STRONG COLLABORATION AND KNOWLEDGE SHARING SKILLS.

STRONG BACKGROUND CULTURE OF DELIVERING PROJECTS WITH FIRST TIME RIGHT / ZERO DEFECTS IN PRODUCTION