Data Engineer SQL

Rate: 1500 per hour (Long-term contract); Location - Moscow and Moscow Oblast only Hypbrid format (office in Moscow);

About the project: Bank. The team is involved in the storage, collection, and provision of operational risk information, as well as various analytics, including analytical and operational reporting, Ad-hoc analysis, and support for regular business processes.

Responsibilities:

• Development and support of data pipelines;
• Automation of data loading, transformation, and delivery;
• Monitoring and optimization of existing processes;
• Interaction with DWH analyst and developer teams;
• Participation in improving the architecture of ETL processes.

Tech Stack:

• Apache Airflow;
• Spark / Hive;
• Jenkins;
• Power Designer.

Requirements:

• Advanced SQL;
• Experience in building data marts/ETL or dashboards with independent data preparation;
• Basic Python for analytics (data frames, pandas);
• Hands-on experience with Hadoop (spark, Hive) or Airflow;
• Advanced Python or Java (desirable);
• English language: technical level (reading documentation, professional resources);
• Readiness for a large volume of communication, communicativeness;
• Critical thinking / Analytical mindset;
• Desire to develop and learn new things;
• Responsibility for the final result.