Data platform Development Engineer

Tech3pillars Technologies

United States

7 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Amazon Web Services Data Analysis ARM Architecture Cloud Computing Databases Information Engineering Extract Transform Load (ETL) Data Systems DevOps Python (Programming Language) Microsoft SQL Server MySQL

+13 more

Performance Tuning Software Deployment SQL Stored Procedures SQL Databases Data Processing Scripting Sql Optimization Snowflake Git Star Schema Apache Kafka Data Management Data Pipelines

Requirements

Mandatory Snowflake Expertise: Proven experience implementing and managing data solutions within the Snowflake ecosystem.

Data Pipelines: Experience building data pipelines.
Data Analysis: Strong understanding of data analysis techniques for validation requirements.
Advanced SQL: Complex querying, data manipulation, and performance tuning across Snowflake and SQL Server environments.
Data Engineering Fundamentals: Solid understanding of data engineering principles, data modeling, ETL/ELT methodologies, and data pipeline orchestration.
Snowflake Features: Familiarity with Copy, Stored Procedures, and Views.
Python: Basic proficiency for data processing, scripting, and automation.
DevOps: Experience deploying applications using Bit/Git version control, CGW server, Kafka, MySQL, AWS, and cloud hosting platforms.
Soft Skills: A positive attitude and eagerness to learn emerging technologies.
Good to Have: Experience with Snowflake Cortex workloads is a significant advantage.

Skills: Data Analysis, Data Management, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Ecosystems, Microsoft SQL Server, Performance Tuning/Optimization, Python Programming/Scripting Language, Requirements Validation/Verification, SQL (Structured Query Language), Scripting (Scripting Languages), Snowflake Schema, Stored Procedures