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Remote Data Engineer

at Remedy Product Studio

Posted 1 day ago 1 applied

Description:

  • Remedy Product Studios is a rapidly scaling technology company that specializes in working with and investing in prominent start-ups and brands to build and scale their digital products.
  • The company employs data-driven agile approaches and high-performing teams as a cornerstone of its technology-first culture.
  • As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and storage solutions.
  • You will collaborate closely with product managers, engineers, and analysts to ensure efficient data workflows and enable data-driven decision-making.
  • Your responsibilities will include designing, developing, and maintaining scalable ETL/ELT pipelines and data workflows, optimizing data storage and processing using cloud-based technologies, and ensuring data integrity and compliance with industry standards.
  • You will also monitor and improve data infrastructure performance, implement best practices for data governance, and develop robust data injection processes.

Requirements:

  • You must have 5+ years of experience in data engineering or a related field.
  • Strong expertise in AWS data services such as Redshift, Glue, Athena, S3, Lambda, and Kinesis is required.
  • Experience with big data technologies like Apache Spark and Apache Airflow is necessary.
  • You should possess strong knowledge of SQL, data modeling, and schema design.
  • Hands-on experience in Python is essential.
  • Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform or CloudFormation is a plus.
  • Strong problem-solving skills and the ability to work in a fast-paced environment are required.
  • Excellent communication skills are necessary for collaboration with both technical and non-technical stakeholders.
  • Fluency in English (B2) with both written and spoken skills is required for clear communication with native speakers.
  • Experience with real-time data streaming and event-driven architectures, as well as exposure to machine learning workflows and MLOps practices, is considered a nice to have.

Benefits:

  • The position offers competitive compensation.
  • It features a remote-first work environment.
  • There is a laptop reimbursement program available.
  • Employees receive 15+ days of unavailable days per calendar year.
  • The company provides predetermined non-working days that align with cultural and social contexts.
  • Monthly stipends are offered to help support and cover work-related costs, including connectivity, technology, and tools.