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Junior Data Engineer

Job Title:             Data Engineer (Entry Level)

Location:             Boston, MA (Onsite)

 

Job Overview:

We are looking for a motivated Junior Data Engineer to join our team. This role is perfect for recent graduates or interns who are eager to build their career in data engineering and work on cutting-edge big data technologies. You will work closely with experienced engineers to design, develop, and support enterprise-wide big data solutions.

 

Key Responsibilities:

  • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch.
  • Develop applications primarily in Scala and Python with guidance from senior team members.
  • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus.
  • Work on ETL/ELT processes and frameworks to ensure smooth data integration.
  • Participate in development tasks, including configuration, writing unit test cases, and testing support.
  • Help identify and troubleshoot defects and assist in root cause analysis during testing.
  • Support performance testing and production environment troubleshooting.
  • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes.
  • Continuously learn and grow your skills in big data technologies and cloud platforms.

 

Prerequisites:

  • Recent graduate or currently pursuing a degree in Computer Science, Information Technology, Engineering, or related fields.
  • Basic experience or coursework in Scala, Python, or other programming languages.
  • Familiarity with SQL and database concepts.
  • Understanding of ETL/ELT concepts is preferred.
  • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory.
  • Strong problem-solving skills and eagerness to learn.
  • Good communication and teamwork abilities.

 

Selection Process & Training: 

  • Online assessment and technical interview by Quintrix.
  • Client Interview(s). 
  • 2-3 weeks of pre-employment online instructor-led training. 

 

Stipend paid during Training: 

  • $500. 

 

Benefits: 

  • 2 weeks of Paid Vacation. 
  • Health Insurance including Vision and Dental. 
  • Employee Assistance Program. 
  • Dependent Care FSA. 
  • Commuter Benefits. 
  • Voluntary Life Insurance.
  • Relocation Reimbursement.

 

Thanks in advance for your time and consideration, please feel free to provide a current version of your resume. I look forward to hearing from you!