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EFG International
Data Ops EngineerEFG International • geneva, Switzerland
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Data Ops Engineer

Data Ops Engineer

EFG International • geneva, Switzerland
Vor 8 Tagen
Stellenbeschreibung
pbGeneral Info /b /pliDepartment: IT Data Departement /liliWork time Percentage: 100% /liliLocation: Geneva /lipbOur Company /b /ppEFG International is a global private banking group, offering private banking and asset management services. We serve clients in over 40 locations worldwide. EFG International offers a stimulating and dynamic work environment and strives to be an employer of choice. /ppEFG is committed to providing an equitable and inclusive working environment that is founded on the principle of mutual respect. Joining our team means experiencing a supportive environment, where your contributions are valued and recognised. We strongly believe that the diversity of our teams gives us a competitive advantage by fostering better decision-making and greater innovation. /ppbOur Purpose and Mission /b /ppEmpowering entrepreneurial minds to create value – today and for the future. /ppWe are a private bank, offering personalised solutions on a global scale to private and institutional clients. Our sustainable success is based on our talents and on how we partner with our clients and communities to create lasting value. /ppbJob Description /b /ppDataOps platform team mission is to ensure a reliable service level across each technological component of the EFG data platform (Databricks, Kafka, Spark, Elastic Search, Apache MQ, uServices stack). /ppWe are building and evolving the CI/CD Platform that supports data pipeline deployments, bringing implementation expertise and working closely with project teams to get deliverables across the line. /ppKey team responsibilities includes, CI/CD governance of data pipelines, pipeline deployment support and certification and monitoring of platform level operations. /ppbMain Responsibilities /b /pp As our platform and data landscape evolve, we would like to strengthen our team with a skilled CI/CD engineer specialised in data pipeline implementations. /pliExpectations on data quality are constantly increasing with the need for a extremely stable service delivery. We must ensure that our delivery processes are controlled and visible to our stakeholders. /liliWe are particularly interested in someone comfortable driving Kafka, Spark and Databricks operations with Python /liliBy reinforcing our team, you will greatly contribute to the continuity and quality of our operations. /liliTake operational ownership of specific data services (change management, quality insurance management, SLA, SOP) /lilitrack and ensure the smooth operation of critical data pipelines during Asian hours, acting as the primary point of contact for critical issues in a follow-the sun support model. /liliDesign, implement, and optimize data pipeline in batch and streaming mode. /liliFollow and apply CI/CD practice to automate and streamline deployments and integrations. /liliCreate, maintain, and improve documentation and operational procedures for which operationnal ownership is ensured. /liliCollaborate with cross-functional teams to improve and review governance around integration operations. /liliMaintain high standards of data quality, reliability, and performance. /liliStay current with advancements in data engineering, of dataops tech stack, to support continuous improvement /lipbRequirements and Qualifications /b /pliAt least 5 Years of proven hands-on experience in data engineering and data pipeline deployment rooted in devops practice. /liliComfortable working with Python, SQL, PySpark and Databricks /liliRobust experience of any leading CI/CD platforms and processes in hybrid environment (., Azure DevOps, GitLab CI, GitHub Actions ). /liliFamiliarity with microservices architecture, API management and observability is a real plus /liliExperienced with Azure databricks. /liliGood communication and collaboration skills. /liliRigorous and methodical in documentation and process creation /liliHigh interest for convergence, normalization and reusability. /liliCurious, enthusiastic and proactive /liliPassionate about data processing technologies, with a strong desire to learn and grow in a demanding environment /liliFluent in spoken and written English, French is an asset. /lipbOur Values /b /pliAccountability: Taking ownership for tasks and challenges, as well as seeking continuous improvement /liliHands-on: Being proactive to rapidly deliver high-quality results /liliPassionate: Being committed and striving for excellence /liliSolution-driven: Focusing on client outcomes and treating clients fairly with a risk-aware mindset /liliPartnership-oriented: Promoting collaboration and teamwork. Working together with an entrepreneurial spirit. /lipbPlease ensure to attach a cover letter to your CV when filling the application. /b /ppApplication /ppShould you wish to apply for this position use this link to apply. /p
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Data Ops Engineer • geneva, Switzerland

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