Snowflake Data Engineer

PROLIM Global Corporation

Plano, United States

2 months ago

Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Computer Programming Databases Information Engineering Extract Transform Load (ETL) Data Structures Data Warehousing Database Queries Dimensional Modeling Python (Programming Language)

+13 more

Object-Oriented Software Development Performance Tuning Cloud Services SQL Databases Talend Data Processing Google Cloud Data Ingestion Azure Data Factory Snowflake Pyspark AWS Glue Data Pipelines

Requirements

Snowflake Certification + Must possess at least one valid Snowflake certification (e.g., SnowPro Core or equivalent). + Candidate should be able to demonstrate understanding of Snowflake architecture, virtual warehouses, databases, schemas, stages, and data loading concepts.
SQL Proficiency + Strong understanding of SQL fundamentals. + Hands-on experience writing complex queries involving joins, subqueries, CTEs, window functions, aggregations, and performance optimization. + Ability to solve practical SQL-based scenarios during interviews.
Python / PySpark Skills + Good working knowledge of Python programming. + Familiarity with data processing using PySpark. + Understanding of data structures, functions, error handling, and basic object-oriented programming concepts.
Project Experience + Must have completed at least 1 2 academic, internship, personal, or training projects related to data engineering, analytics, or cloud data platforms. + Should be able to clearly explain: + Business use case + Architecture/design + Technologies used + Individual contribution

Challenges faced and solutions implemented

Preferred (Good-to-Have) Skills

ETL/ELT Tool Exposure + Exposure to one or more ETL/ELT tools such as: + Fivetran + Hevo Data + Informatica + Talend + Azure Data Factory (ADF) + AWS Glue
Basic understanding of data ingestion and pipeline concepts.
Cloud & Data Warehousing Fundamentals + Basic understanding of cloud platforms (AWS, Azure, or Google Cloud Platform). + Familiarity with data warehousing concepts, dimensional modeling, and data pipelines.

Behavioral & Problem-Solving Skills

Analytical and Problem-Solving Ability + Strong logical thinking and analytical mindset. + Ability to break down problems and propose practical solutions. + Comfortable working with data and troubleshooting issues.
Communication Skills + Good verbal and written communication skills. + Ability to explain technical concepts clearly and confidently. + Should be able to participate effectively in client-facing or team discussions.
Learning Attitude + Demonstrates eagerness to learn new technologies and adapt to changing project requirements. + Shows initiative in completing certifications, hands-on labs, and self-learning activities.