Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
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.
Requirements
- 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.
Benefits
- Remote-first, trust-based culture.
- True flexibility with work hours.
- Extra time off: birthday holiday and 10 personal days.
- Fair and transparent pay.
- Opportunities for personal development and learning.
- Team offsites covered by the company.
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