About the role

Senior Data Engineer at Sumsub, developing scalable data integration solutions and maintaining data quality. Collaborating with teams to optimize data processes in a remote-first environment.

Responsibilities

Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions.
Ensuring data quality and reliability by implementing data validation, cleansing, and quality monitoring processes.
Optimising database performance by tuning queries, implementing indexing strategies, and analyzing performance metrics.
Collaborating with cross-functional teams to gather requirements, understand data needs, and develop solutions.
Staying up-to-date with emerging technologies and industry trends in data engineering.
Establishing and enforcing best practices and standards for data engineering.

Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases.
Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts.
Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala.
Knowledge of AWS is a plus.
Strong analytical and problem-solving skills.
Solid project management and organizational skills, with the ability to prioritize and manage multiple data engineering projects concurrently.