Data Engineer - Remote - Exp in Java Script and React Js - Direct Client - W2

Data Engineer - Remote - Exp in Java Script and React Js - Direct Client - W2

Posted 1 day ago by 1753866370

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Negotiable
Outside
Remote
USA
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Amazon Web Services (AWS) Apache Hadoop Apache Spark Big Data BigQuery Cloud Computing Cloud Storage Cloud Technology Computer Science Database Design Data Engineering Data Integration Data Modeling Data Pipeline Data Quality Data Store Data Warehousing Extract Transform Load (ETL) Google Cloud Google Cloud Composer Google Cloud Platform (GCP) Information Technology Market Trend Microsoft Azure Python (Programming Language) SQL (Programming Language) Stakeholder Management

Summary: The Data Engineer role involves designing, developing, and maintaining scalable data pipelines and ETL processes, primarily utilizing Google Cloud Platform. The position requires collaboration with various stakeholders to ensure data quality and integrity while optimizing data processes for performance. Candidates should possess strong technical skills in SQL and Python, along with experience in data engineering. This role is remote or based in Brooklyn, New York, and is classified as outside IR35.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality, integrity, and security across all data pipelines.
  • Optimize and tune data processes for performance and cost-efficiency.
  • Implement and manage data storage solutions on Google Cloud Platform.
  • Monitor and troubleshoot data pipeline issues and implement solutions.
  • Stay up-to-date with industry trends and best practices in data engineering.

Key Skills:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and Python.
  • Knowledge of Google Cloud Platform (Google Cloud Platform) and its data services (e.g., BigQuery, Cloud Storage, Cloud Composer).
  • Experience with ETL tools and data integration techniques.
  • Familiarity with data warehousing concepts and technologies.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Salary (Rate): undetermined

City: Brooklyn

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality, integrity, and security across all data pipelines.
  • Optimize and tune data processes for performance and cost-efficiency.
  • Implement and manage data storage solutions on Google Cloud Platform.
  • Monitor and troubleshoot data pipeline issues and implement solutions.
  • Stay up-to-date with industry trends and best practices in data engineering.
Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and Python.
  • Knowledge of Google Cloud Platform (Google Cloud Platform) and its data services (e.g., BigQuery, Cloud Storage, Cloud Composer).
  • Experience with ETL tools and data integration techniques.
  • Familiarity with data warehousing concepts and technologies.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Preferred Qualifications:
  • Experience with other cloud platforms (e.g., AWS, Azure).
  • Knowledge of data modeling and database design.
  • Experience with big data technologies (e.g., Hadoop, Spark)

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