Senior Data Engineer @
1 week ago
Your skills and experiences:
- 5+ years of experience in data engineering, particularly in designing and developing data pipelines;
- Strong programming skills in Python and experience with API integrations;
- Extensive experience with AWS Cloud Services (e.g., S3, EC2, RDS, Lambda, Glue Jobs, EMR) and understanding of best practices in cloud security;
- Experience with Terraform and infrastructure as a code;
- Proficiency in SQL and experience with relational and NoSQL databases;
- Experience with graph and vector databases;
- Capability to handle multiple high-priority tasks simultaneously and meet tight deadlines without sacrificing detail or accuracy;
- Excellent interpersonal skills to engage with colleagues across various teams, contributing to fast-paced projects;
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field;
- Language proficiency: Advanced English (minimum B2 level).
Do you want to play a key role in revolutionizing the future of finance? Join our Client - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily As a pioneer in modern payment solutions, our Client is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options.
We're seeking individuals eager to achieve remarkable results and share their bold vision to redefine the future of payments and fintech. Send us your CV - we can't wait to meet you
,[ Designing and implementing robust, scalable data pipelines to collect, integrate, and analyze large volumes of data from various sources including Jira, AWS S3, and external websites via APIs;, Developing and maintaining databases and data tables that are optimized for performance and scalability within Klarna's cloud environment, leveraging AWS services;, Collaboration with different teams to understand data needs and deliver solutions that support business objectives;, Ensuring data integrity and compliance with data governance and security policies;, Providing technical leadership and mentorship to data analysts in the team;, Stay current with industry trends and evaluate new technologies for continuous improvements in data architecture and processing;, Work closely with other teams to leverage Klarna's internal systems for optimized data management and operations;, Assisting DevOps or Full Stack engineers, when necessary, to achieve team objectives.] Requirements: Python, AWS, Terraform, SQL, DevOps, Software Development Life Cycle-
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