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Urgent! Data Engineer Job Opening In Manhattan – Now Hiring InterSources



Job description

Overview


As a Data Engineer at Client, you will develop a deep understanding of the company's diverse data landscape and collaborate closely with cross-functional teams to gather requirements and deliver data-driven solutions.

You will be responsible for providing data services through reports, systems, and interface applications to support various business functions.


The ideal candidate has a strong background in data engineering, is proficient in mainstream database systems, and possesses solid development skills, including the ability to perform in-depth debugging and troubleshooting.

A passion for solving complex data challenges and enabling data-driven decision-making is essential.



Key Responsibilities
  • Data Analysis and Reporting : Work with business analysts and stakeholders to understand their data needs and deliver data solutions.

    Requires a strong understanding of data processing and hands-on experience with tools such as SQL, Pandas, and Jupiter.

  • Data Service Platform Development : Identify recurring analytical and reporting needs and implement reusable solutions within the internal data service platform.

    Proficiency in Python, Django, and JavaScript is required, along with strong debugging skills.

  • Data Processing Pipelines : Design, build, and maintain reliable and scalable daily data pipelines.

    Experience with Apache Airflow or other ETL orchestration tools is essential.

  • External Data Interfaces : Develop and maintain data services for external systems based on internal datasets.

    Requires knowledge of RESTful APIs and message queue technologies such as IBM MQ or Apache Kafka.

  • Data Platform Infrastructure : Work with cloud-based infrastructure components, including EC2, Docker, RDS, Redshift, and S3 to support the data platform.

  • Qualifications
    Must:
  • Bachelor's degree in Data Engineering, Computer Science, Information Technology, or a related field
  • Minimum of 3 years' experience in a data engineering role
  • Proficiency in Python and Pandas
  • Strong SQL skills
  • Preferred:
  • Experience with JavaScript and web debugging tools
  • Familiarity with Apache Airflow
  • Experience with Django
  • Experience with AWS and related cloud technologies
  • Fluent in Mandarin


  • Required Skill Profession

    Computer Occupations



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      Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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