Data Engineer

Compunnel

$90K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of relevant experience in data engineering
  • Intermediate understanding of RDBMS and NoSQL technologies like MongoDB
  • Proficient in Python scripting
  • Basic familiarity with Unix/Linux systems
  • Strong communication skills for collaborative work

Responsibilities

  • Develop and optimize databases across multiple platforms including Sybase and Snowflake
  • Contribute to key infrastructure projects and evaluate strategic RDBMS options
  • Execute performance optimizations, platform migrations, and system upgrades
  • Support data engineering initiatives, including creating Data-Marts and developing BI platforms
  • Collaborate with cross-functional teams, including IT and R&D
  • Engage in Agile discussions, sharing technical insights and feedback
  • Ensure the resilience and quality of systems in a fast-paced Agile setting

Benefits

  • Opportunities for professional development and technical upskilling
  • Collaborative work environment with cross-functional teams
  • Engagement in innovative projects across modern database platforms
  • Exposure to Agile methodologies and best practices
  • Potential for remote collaboration with geographically dispersed teams
Full Job Description
Job Summary

Client Division, is responsible for maintaining, distributing, and reporting on trading, revenue, risk, and reference data. Within TEDRA, the ITARA Practice Area supports trade data extraction, Data-Mart creation, reporting, and high-performance BI platforms. The Reference Data Development Team is seeking a Data Engineer to contribute to core infrastructure development across Sybase, DB2, MSSQL, and emerging platforms such as MongoDB, Snowflake, and Azure SQL.

Key Responsibilities

  1. Develop and optimize databases across Sybase, DB2, MSSQL, MongoDB, Snowflake, and Azure SQL
  2. Contribute to core infrastructure projects and strategic RDBMS evaluations
  3. Perform performance optimization, testing, platform migration, and version upgrades
  4. Support data engineering initiatives including Data-Mart creation and BI platform development
  5. Collaborate cross-functionally with IT, R&D, supplier development, and quality teams
  6. Participate in Agile discussions, expressing technical views and listening to others
  7. Ensure resiliency and quality in fast-paced Agile environments

Required Qualifications

  • At least 3 years of relevant experience
  • Intermediate knowledge of RDBMS and NoSQL (MongoDB) technologies
  • Scripting knowledge in Python
  • Basic knowledge of Unix/Linux operating systems
  • Excellent communication skills


Preferred Qualifications

  • Knowledge of data modeling concepts
  • Experience with version control (Git preferred)
  • Familiarity with ETL tools such as Talend or Informatica
  • Knowledge of replication systems
  • Experience with Agile practices and geographically dispersed teams
  • Personal attributes: integrity, ownership, teamwork, motivation to expand technical and business knowledge


Education

  • Bachelor's degree in Computer Science, Information Systems, or related technical discipline preferred

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