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Urgent! Data Engineer - Remote Job Opening In WorkFromHome – Now Hiring INDI Staffing Services



Job description

Overview of the role

The Data Engineer position focuses on developing, analyzing, maintaining, and evolving data processing systems in operational and analytical environments.

This role involves working with modern, cloud-native data stacks including AWS Glue, Apache Spark, Delta Lake, and Databricks to solve complex, large-scale data challenges that directly impact global decision-making and contribute to core value streams.

Key responsibilities

  • Designing and implementing scalable and secure data pipelines using AWS Glue or Databricks.

  • Developing and optimizing distributed processes in Apache Spark for large volumes of data.

  • Managing and maintaining Delta Lake tables, ensuring data integrity, versioning, and schema evolution.

  • Writing and maintaining clean, modular Python code for ETL processes and automation.

  • Collaborating with cross-functional groups to translate business needs into reliable data solutions.

Requirements

  • Data Engineering: 5+ years of comprehensive experience in Data Engineering.

  • Cloud Platforms: 3+ years of hands-on experience with AWS Glue or Databricks.

  • Distributed Computing: 3+ years of proven experience with Apache Spark.

  • Data Lake Technology: 2+ years of practical experience with Delta Lake.

  • Python Expertise: 5+ years of Python programming focused on ETL and automation.

  • Monitoring Systems: Familiarity with monitoring, observability, and data pipeline alerting systems.

  • Cloud Knowledge: Experience with cloud environments, preferably AWS ecosystem.

  • Language Proficiency: Advanced proficiency in English.

What to expect from us

  • Fully Remote: Work from anywhere in the world.

  • Competitive Compensation: Excellent payment in USD or your preferred local currency.

  • Flexible Hours: Design your own work schedule for optimal work-life balance.

  • Paid Leave: Parental leave, vacation, and national holidays.

  • Dynamic Work Culture: Innovative and multicultural environment.

  • Elite Collaboration: Work with the global top 1% of talent.

  • Growth and Support: Mentorship and career development opportunities.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Staffing and Recruiting

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Required Skill Profession

Bases De Datos, Analítica Y Bi



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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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    INDI Staffing Services interview tips for Data Engineer   Remote

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