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 ID:25-94452

Pay Range: $60 - $65/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• 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.

Key Requirements and Technology Experience:

• Key Skills;Snowflake, Python, ETL, AWS, SQL
• Large complex data environment, multiple sources Apache Iceberg Informatica 
• Python for creating ETL data flows
• Snowflake
• AWS (S3, EC2, IAM, etc)
• 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).

Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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