Remote Data Pipeline Developer

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Description:

  • Design and architect scalable and reliable data pipeline solutions for automating data ingestion, processing, and transformation tasks.
  • Integrate data from various sources like databases, files, APIs, and streaming platforms into the data pipeline ecosystem.
  • Develop and maintain data processing workflows to cleanse, enrich, and transform raw data for analysis and reporting.
  • Orchestrate and schedule data pipeline workflows using tools like Apache Airflow, Luigi, or Prefect.
  • Optimize data pipeline performance for speed, efficiency, and scalability.
  • Implement data quality checks, validation rules, and error handling mechanisms for ensuring data accuracy and consistency.
  • Monitor data pipeline performance, proactively identify and address issues, and optimize resource utilization.
  • Document data pipeline architecture, processes, and collaborate with cross-functional teams for alignment and transparency.

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, or related field.
  • Strong background in data engineering with hands-on experience in designing, building, and optimizing data pipeline solutions.
  • Proficiency in programming languages like Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Beam, or Apache Flink.
  • Experience with workflow management tools like Apache Airflow, Luigi, or Prefect.
  • Familiarity with data integration techniques, ETL processes, and streaming data processing.
  • Strong problem-solving abilities, analytical thinking, attention to detail, and a passion for tackling technical challenges.
  • Excellent communication and collaboration skills for working effectively in cross-functional teams and explaining technical concepts to non-technical stakeholders.

Benefits:

  • Competitive salary ranging from $140,000 to $210,000 per year, with potential for higher compensation for exceptional candidates.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities including training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools.
  • Vibrant and inclusive company culture with team-building activities and social events.
  • Opportunities for career growth and advancement within the company.
  • Exciting projects with real-world impact across diverse industries.
  • Work alongside top talent and industry experts in the field of data engineering.
About the job
Posted on
Job type
Salary
$ 140,000 - 210,000 USD / year
Position
Experience level
Technology stack
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