Data Engineer/Data Analyst

Summary: The Sr. Data Engineer role involves designing and implementing data management procedures, ensuring data quality across various environments, and developing architectures to support the company's strategic goals. The position requires extensive experience in IT, particularly with scripting languages and data ingestion methodologies. The role is remote and focuses on enhancing data reliability and efficiency through advanced analytics and machine learning. The contract duration is expected to be over six months.

Key Responsibilities:

• Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (e.g., scripts, programs, automation, etc.)
• Ensures quality of technical solutions as data moves across multiple zones and environments
• Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
• Ensures managed analytic assets to support the company s strategic goals by creating and verifying data acquisition requirements and strategy
• Develops, constructs, tests, and maintains architectures
• Aligns architecture with business requirements and uses programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality
• Conducts research for industry and business questions
• Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
• Prepares data for predictive and prescriptive modeling and find hidden patterns using data
• Uses data to discover tasks that can be automated
• Creates data monitoring capabilities for each business process and works with data consumers on updates
• Aligns data architecture to the solution architecture; contributes to overall solution architecture
• Develops patterns for standardizing the environment technology stack
• Helps maintain the integrity and security of company data
• Additional duties as assigned or required

Key Skills:

• 7+ Years overall IT experience
• Enterprise experience in scripting languages primarily Python building enterprise frameworks
• Enterprise experience in data ingestion methodologies using different ETL tools.
• Enterprise experience in data warehousing concepts and big data technologies
• Enterprise experience in any cloud infrastructure
• Strong SQL

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT