Senior Data Engineer

Sumsub is the one verification platform to secure the whole user journey. With Sumsub’s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.Sumsub has over 4000 clients across the fintech, crypto, transportation, trading and gaming industries including Duolingo, Bitpanda, Wirex, Avis, Exness, Flippa, italki, Bybit, LBANK, Gett, Kaizen Gaming, and TransferGo.Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave™ and Frost Radar™.Our tech stack:Superset and similar data visualisation tools.ETL tools: Airflow, DBT, Airbyte, Flink, etc.Data warehousing and storage solutions: ClickHouse, Trino, S3.AWS Cloud, Kubernetes, Helm.Relevant programming languages for data engineering tasks: SQL, Python, Java, etc.What you will be doing:Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs.Ensuring data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes.Optimising database performance by tuning queries, implementing indexing strategies, and monitoring and analysing system performance metrics.Collaborating with cross-functional teams to gather requirements, understand data needs, and develop data solutions that align with business objectives.Staying up-to-date with emerging technologies and industry trends in data engineering, and identifying opportunities for process improvements and tool enhancements.Establishing and enforcing best practices and standards for data engineering, including data modelling, data architecture, and coding practices.Providing technical leadership in evaluating and selecting appropriate tools, technologies, and platforms for data engineering projects.Driving innovation and continuous improvement in data engineering processes, workflows, and methodologies.Collaborating with stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance.About you: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.What We Offer:Fully remote and flexible working schedule, with access to a coworking space (in some locations).Working with a product that matters. Our technology helps to protect millions of users and lots of online services worldwide.International project. Our team works from offices in Berlin, Limassol, London, and Miami, our customers are spread from Mexico and the USA to Hong Kong, South Korea, and Singapore.1 extra day off to celebrate your birthday.7 additional days to enjoy the Christmas & New Year holidays.7 days of sick leave (without the need for documentation).Regular, fully covered team offsites to connect and collaborate.Learning opportunities and support to attend industry events with the team.The hiring stages:TA screening -> Hiring Manager Interview -> Assignment -> Final Interview.Sounds like a great opportunity for your career development? Then go ahead and apply!We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.Originally posted on Himalayas

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