23 авг

Data Engineer

выше рынка на 293,2%
вакансия 398 021 ₽
в среднем 101 222 ₽
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описание

The company’s client builds robust data infrastructure for high-volume data processing, analytics, and business intelligence initiatives that support business decisions.

задачи

  • Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets;
  • Build and optimize data infrastructure for real-time and batch processing workflows;
  • Collaborate with cross-functional teams to identify data requirements and align them with business goals;
  • Implement data quality checks and monitoring to maintain the accuracy and reliability of data assets;
  • Troubleshoot and resolve data pipeline issues to minimize downtime and maximize efficiency.

требования

  • Proficiency in Python, SQL, and data pipeline frameworks such as Apache Airflow or similar;
  • Experience with cloud platforms such as AWS, GCP, or Azure;
  • Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift;
  • Strong understanding of ETL processes and data modeling techniques;
  • Ability to work independently in a remote environment;
  • Strong problem-solving skills;
  • Nice to have: Familiarity with stream processing technologies such as Kafka and Spark Streaming.

условия

  • $30 - $130/Hour;
  • Contract.

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