23 feb
Intellias
Estado de México
Direct message the job poster from Intellias Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East.
Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
We are seeking an experienced Principal Data Engineer to lead a team in developing and maintaining robust, scalable data pipelines, bridging on-premises and cloud environments, and delivering real-time analytics systems.
This role requires deep expertise in data engineering and streaming technologies, combined with strong leadership skills to drive the team towards achieving business objectives.
The manager will collaborate with cross-functional teams including architecture, product, and software engineering to ensure the delivery of high-quality data solutions aligned with company goals.
Requirements: 5+ years of hands-on experience in data engineering, including expertise in Python, Scala, or Java.
Deep understanding of Apache Kafka for stream processing workflows (required) Proficiency in managing and optimizing databases such as PostgreSQL, MySQL, MSSQL, and Oracle.
Familiarity with analytical databases like ClickHouse or similar.
Familiarity with both cloud solutions (AWS, Azure, Google Cloud) and on-premises environments as part of cost-optimization efforts.
Knowledge of additional data tools and frameworks such as Redis, RabbitMQ, Superset, Cube.js, Minio, and Grafana (optional but beneficial).
Strong leadership and mentoring skills, with the ability to guide a team and provide technical direction.
Experience ensuring system reliability, scalability, and data integrity through best practices.
Familiarity with iGaming industry terminology and challenges is highly preferred.
Responsibilities: Provide technical leadership, including making key decisions on solution design, architecture, and implementation strategies.
Lead and mentor a team of data engineers, serving as the primary point of contact for technical guidance.
Design and oversee the implementation of scalable, efficient data pipelines and architectures, with a strong focus on stream processing.
Develop and maintain robust data storage and processing solutions, leveraging tools like Apache Kafka, Redis (ClickHouse is a strong plus).
Guide the migration of selected cloud-based solutions to on-premises tools, optimizing costs while maintaining performance and reliability.
Collaborate with stakeholders to gather requirements,
propose designs, and align data strategies with business objectives.
Ensure system reliability and scalability, with a focus on high availability and robust data transfer mechanisms (e.g., 'at least once' delivery).
Stay up-to-date with emerging technologies and evaluate their potential application to improve the overall data ecosystem.
At Intellias, where technology takes center stage, people always come before processes.
We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results.
Our customized benefits not only prioritize your well-being but also charge your professional growth,
making this opportunity an ideal match for tech enthusiasts like you.
Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr
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