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ECLARO is a professional services firm headquartered in New York City and operating globally. We provide strategic staffing, permanent placement, custom outsourcing & offshoring to meet clients' needs.

We are seeking a highly capable and driven Data Engineer to join our team. This role is ideal for someone who thrives in complex data environments, brings deep technical expertise in Python and MongoDB, and has a strong background in building scalable data pipelines and performing complex data migrations.

Key Responsibilities
  • Design, Build, and Maintain Scalable Data Pipelines: Utilize Python and AWS technologies to design, build, and maintain scalable data pipelines that ensure seamless data flow, accuracy, and performance.
  • Perform Complex Data Conversions and Migrations: Execute complex data conversions and migrations between systems with precision and reliability, ensuring minimal disruption to existing workflows.
  • Work Extensively with MongoDB: Ensure data consistency, performance optimization, and schema design using MongoDB, leveraging its advanced queries, performance tuning, and data modeling capabilities.
  • Integrate with Services and Data Flows: Leverage Node.js and TypeScript when needed to integrate with services and data flows, utilizing containerized environments and Linux command line scripting for automation and operational support.
Required Skills and Qualifications
  • Deep Expertise in Python Ecosystem: Total mastery of the Python data ecosystem, especially pandas and related libraries, to handle complex data manipulation, transformation, and analysis tasks.
  • Mastery of MongoDB: Proficiency with MongoDB, including advanced queries, performance tuning, and data modeling, to ensure data consistency, performance optimization, and schema design.
  • Extensive Experience Building Data Pipelines: Strong experience building data pipelines for ETL/ELT workflows in production environments, ensuring scalability, efficiency, and data quality.
  • Strong Problem-Solving Skills: Excellent problem-solving skills and attention to detail to identify and resolve complex technical issues, ensuring minimal downtime and maximum productivity.
Benefits
  • Opportunities for Growth: Opportunities for career growth and development in a dynamic and innovative organization, with access to training, mentorship, and professional networking opportunities.
  • Collaborative Work Environment: Collaborative work environment with experienced professionals who share knowledge, ideas, and best practices to drive business success.
  • Flexible Working Arrangements: Flexible working arrangements to accommodate diverse needs, including remote work options, flexible hours, and compressed workweeks.
Job Requirements
  • Seniority Level: Entry-level position requiring relevant education, training, or experience in data engineering, software development, or a related field.
  • Industry: Staffing and recruiting industry, providing professional services to clients across various sectors.