You will be based in South Africa or Uganda. We operate a remote first working approach where working remotely is our default way of working. We have co-working spaces available in Cape Town and Kampala, for collaboration and connection and for the use of those who value and want to work out of an office. You have flexibility where to work from, as long as you have access to a reliable connection and are set up to work remotely. At JUMO, we believe that diversity strengthens our teams and we strive in our recruitment process to create an environment where people from every background can collaborate and prosper and be themselves.
Senior Data Engineer
Location
Portugal + 1 moreAll locations: Portugal | South Africa
Posted
49 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
JUMO
About this job At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines. As a JUMO Senior Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications. You will - Be responsible for creating robust, mission critical batch and streaming data processing capabilities - Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation - Provide feedback on team members' output, encouraging skills development within the team - Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve - Mentor juniors with technical leadership - Be supported by senior leaders as you drive your own development You will need - 5 - 8 years of experience in a similar role with a BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree - Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets) - Experience in streaming technologies, specifically Spark and Kafka - Experience with cloud technologies, AWS preferred - Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, Cassandra, DynamoDB, InfluxDB, MongoDB, Presto, Beam - Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle - Experience in application design and development with at least one of the following languages: Python (preferred), Scala, Java - RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components - Understanding of CI/CD practices - Productive within a Linux command line environment - Proven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure Bonus if you have - Experience working with messaging systems (RabbitMQ, SNS) - Experience working with data pipeline orchestration (Airflow, Nifi, Streamsets) - Experience working with production BI environments and tools (Tableau, Superset, Looker) We ask a lot of each other at JUMO, but we give a lot too. You will love - Collaborating with smart, engaging people in an inspiring work environment - Working for impact - Growing and learning continuously, with loads of encouragement and support - Boldly taking risks as we navigate new challenges - Flexible work practices enabling your best delivery - Being autonomous and empowered to lead - A stack of leading-edge technologies Remote First This vacancy will be based in either South Africa or Portugal. We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from in the country you are hired, as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO. Diversity and Inclusion At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.
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FINN ist die unabhängige Plattform für Auto-Abos von über 30 Marken. Mit wenigen Klicks ein Auto abonnieren, das in wenigen Tagen direkt vor die Haustür geliefert wird: FINN bietet einen Rundum-Sorglos-Service und kümmert sich um Versicherung, Finanzierung, Anmeldung, Steuern oder auch Wartung. Dazu unterstützt FINN zertifizierte Klimaschutzprojekte und kompensiert damit den CO2-Fußabdruck jedes Fahrzeuges aller Antriebsarten – von der Produktion bis hin zu jedem gefahrenen Kilometer. FINN wurde 2019 in München gegründet. Die Mission: einen positiven Einfluss durch unkomplizierte Mobilität auf Menschen, Unternehmen und den Planeten nehmen. Weitere Informationen: finn.com Deine Rolle Als Fleet Data & Process Specialist im Fleet Department stellst du die präzise und termingerechte Abwicklung definierter administrativer Prozesse rund um unsere Fahrzeuge sicher. 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Oncology Data Specialist
UT Southwestern Medical CenterWith over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals.
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• Build and maintain PySpark data pipelines in the Databricks environment • Optimize Spark jobs performance and resource usage, identifying and addressing bottlenecks and inefficiencies in backend systems • Design, develop, and maintain high-quality backend software components and services, ensuring functionality, performance, and scalability • Research and build proof of concepts in the data space • Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices • Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement • Debug and resolve defects, proactively identifying and addressing potential issues before they impact users • Create and maintain comprehensive technical documentation • Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team • Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget • Continuously evaluate and recommend new dataframe related technologies, frameworks, and tools, helping to drive innovation and keep the team up-to-date with industry trends • Engage in ongoing professional development to stay current with industry best practices, and share knowledge and insights with the team as appropriate • Assist in the implementation and maintenance of security, compliance, and governance policies within the Databricks and AWS environment to ensure adherence to industry standards and regulatory requirements.
