Data Engineer

Immediate need for a talented Data Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Smithfield, RI / Westlake, TX / Merrimack, NH (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job
-94452

Pay Range: $60 - $65/hour. Employee benefits include health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

• Design, develop, and maintain data pipelines and ETL processes using Oracle, Client, and AWS Batch, Python
• Responsible for system analysis including analyzing system requirements, identifying system specifications
• Implement and manage data integration solutions to ensure seamless data flow across systems
• Develop and optimize Unix shell scripts for automation and data processing tasks
• Utilize AWS Batch for scheduling and executing ETL pipelines and batch processing jobs
• Implement CI/CD pipelines using tools like Jenkins, Git, and Artifactory to automate deployment and integration processes
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs
• Ensure data quality, integrity, and security across all data platforms
• Troubleshoot and resolve data-related issues in a timely manner
• Document data engineering processes and maintain comprehensive technical documentation.

• Snowflake, Python, ETL, AWS, SQL
• Python for creating ETL data flows
• Snowflake
• Expert SQL for querying, data analysis and data validation
• Strong experience with Client
• Proficiency in Unix and shell scripting
• Hands‑on experience with AWS Data Engineering services including AWS Batch, S3, EMR, EC2
• Expertise in Informatica for data integration and ETL processes
• Solid understanding of data modeling and data architecture principles
• Strong SQL skills for data querying and manipulation
• Familiarity with CI/CD tools such as Jenkins, Git, and Artifactory
• Knowledge of data governance and data quality best practices
• Knowledge of Python for data processing and automation
• Solid understanding of data warehousing concepts and ETL processes
• Excellent analytical and problem‑solving skills
• Ability to work independently and as part of a team in a fast‑paced environment
• Strong communication and collaboration skills
• Ability to translate business requirements into data‑driven solutions
• Strong communication skills to convey data insights to non‑technical stakeholders
• Ability to analyze large datasets to identify trends and insights
• Proficiency preferred in developing and maintaining dashboards and reports using data visualization tools (e.g., Tableau, Power BI)

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