Data Engineer

Overview

On Site
USD72 - USD73
Contract - W2

Skills

Data Engineer

Job Details

job summary:

Location: Smithfield, RI (primary) Merrimack, NH or Westlake, TX (secondary)


Required Skills:



  • Design, develop, and maintain data pipelines and ETL processes using Oracle, Snowflake, 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.



location: Smithfield, Rhode Island

job type: Contract

salary: $72 - 73 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:


  • Document data engineering processes and maintain comprehensive technical documentation.
  • Strong experience with Oracle databases and Snowflake data warehousing.
  • Proficiency in Unix and shell scripting.
  • Hands-on experience with AWS Data Engineering services including AWS Batch, S3, EMR, EC2


qualifications:


  • 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.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Solid understanding of data warehousing concepts and ETL processes.


skills:

  • 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).




Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.