Senior Data Engineer

Saxon Global • Aventura, FL

5d

About The Position

We are seeking a highly skilled Senior Data Engineer to join our team. In this role, you will be responsible for building and maintaining large-scale data solutions, optimizing data pipelines, and ensuring the performance and scalability of our data infrastructure. You will work with cutting-edge technologies and collaborate with cross-functional teams to deliver impactful data-driven insights.

Requirements

• Bachelor's or master's degree in computer science, Data Engineering, or a related field.
• 5+ years of experience as a Data Engineer building large-scale data solutions.
• Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
• Deep understanding of big data tools and ETL processes (Hadoop, Spark).
• Hands-on experience with cloud platforms and data services (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).
• Strong knowledge of database systems (SQL and NoSQL databases).
• Experience with database design and query optimization.
• Experience designing and managing data warehouses for performance and scalability.
• Proficiency in software engineering best practices (Version control - Git, CI/CD pipelines, Unit testing).

Nice To Haves

• Strong experience in software architecture, design patterns, and code optimization.
• Expertise in Python-based data pipelines and ETL frameworks.
• Experience with Azure Data Services and Databricks.
• Excellent problem-solving, analytical, and communication skills.
• Experience working in Agile environments and collaborating with diverse teams.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and optimize complex SQL queries and database schemas.
• Implement data warehousing solutions for performance and scalability.
• Ensure data quality, integrity, and reliability across all data systems.
• Collaborate with data scientists, analysts, and other engineers to understand data needs and deliver solutions.
• Apply software engineering best practices, including version control, CI/CD, and unit testing.
• Troubleshoot and resolve data-related issues.
• Stay up-to-date with emerging technologies and industry trends in data engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior