Data Engineer
Metasys Technologies, Lake Buena Vista, FL, United States
Data Engineer
Location: Orlando, FL (onsite)
Duration: 12+ months
Role Summary
Client is seeking a skilled Data Engineer with strong expertise in Python, SQL, and Snowflake to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate will also have working knowledge of Dataiku and strong communication skills to collaborate effectively with cross-functional teams.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines using Python and SQL
Build and optimize data models and transformations in Snowflake
Work with large-scale structured and unstructured datasets
Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
Utilize Dataiku for data preparation, workflow automation, and analytics use cases
Ensure data quality, integrity, and governance across data systems
Monitor and troubleshoot data pipelines and workflows
Optimize query performance and storage strategies in Snowflake
Document data processes, workflows, and architecture
Required Skills & Qualifications
Strong programming experience in Python
Advanced proficiency in SQL (query optimization, joins, window functions, etc.)
Hands-on experience with Snowflake (data warehousing, performance tuning, data modeling)
Working knowledge of Dataiku (data pipelines, automation, ML workflows)
Experience with ETL/ELT tools and data pipeline design
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Good to Have
Experience with R programming
Familiarity with cloud platforms (AWS, Azure, or GCP)
Knowledge of data governance and data security best practices
Exposure to data visualization or BI tools (Tableau, Power BI)
Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
Location: Orlando, FL (onsite)
Duration: 12+ months
Role Summary
Client is seeking a skilled Data Engineer with strong expertise in Python, SQL, and Snowflake to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate will also have working knowledge of Dataiku and strong communication skills to collaborate effectively with cross-functional teams.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines using Python and SQL
Build and optimize data models and transformations in Snowflake
Work with large-scale structured and unstructured datasets
Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
Utilize Dataiku for data preparation, workflow automation, and analytics use cases
Ensure data quality, integrity, and governance across data systems
Monitor and troubleshoot data pipelines and workflows
Optimize query performance and storage strategies in Snowflake
Document data processes, workflows, and architecture
Required Skills & Qualifications
Strong programming experience in Python
Advanced proficiency in SQL (query optimization, joins, window functions, etc.)
Hands-on experience with Snowflake (data warehousing, performance tuning, data modeling)
Working knowledge of Dataiku (data pipelines, automation, ML workflows)
Experience with ETL/ELT tools and data pipeline design
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Good to Have
Experience with R programming
Familiarity with cloud platforms (AWS, Azure, or GCP)
Knowledge of data governance and data security best practices
Exposure to data visualization or BI tools (Tableau, Power BI)
Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.