data engineer

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Define requirements with stakeholders and deliver data solutions;
Build scalable data pipelines;
Develop complex data transformations;
Design data models and analytics-ready datasets;
Implement ETL/ELT, data orchestration, and data warehousing/lakehouse solutions;
Ensure data quality and manage metadata.

5+ Years of experience in Data Engineering, Analytics Engineering, or a related field;
Strong SQL skills and experience with complex data transformations;
Hands-on experience with modern data platforms such as BigQuery, Databricks, or Snowflake;
Strong experience with ETL/ELT, data orchestration, and data warehousing/lakehouse solutions;
Experience with Airflow, dbt, Spark, and streaming technologies such as Kafka or Kinesis;
Proficiency in Python;
Strong understanding of data modeling and analytics-ready datasets;
Experience working with stakeholders to define requirements and deliver data solutions;
Experience with data quality, metadata, and scalable data pipelines;
Strong English communication skills;
Ability to work with US overlap;
Nice to have: Data governance, lineage, or metadata management, cross-domain data such as customer, product, or transaction data, financial services or other data-intensive industry experience, data platform migration or evolution toward Databricks, dimensional modeling, data marts, reusable datasets, Airflow / Cloud Composer.

sql bigquery databricks snowflake etl elt airflow dbt spark kafka kinesis python data modeling data warehousing data pipelines

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.

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