Big Data Engineer

hace 7 días

Campo, España Sportserve A tiempo completo

Sportserve   forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide.
Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world renowned sports betting company and our flagship brand, Dafabet.
Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media.
We pride ourselves on having a diverse and international culture that embraces the global community and acts locally.
We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.
We are looking for a talented Mid-Senior Big Data Engineer to join our growing team.
The ideal candidate will bring strong experience in PostgreSQL, including SQL development and DBA tasks, with PostgreSQL DBA expertise being a highly valuable asset.
If you're excited about working with big data technologies, developing efficient ETL pipelines, and exploring machine learning, we'd love to hear from you.
W hat you'll be getting up to:  Develop and maintain Data Warehouse solutions, including both big data platforms (e.g., BigQuery) and PostgreSQL.
Perform light PostgreSQL DBA activities, such as managing backups, profiling, and job monitoring.
Design, build, and maintain ETL processes.
Develop and generate reports based on data insights.
Assist with machine learning tasks or take the lead in driving them, depending on your interest.
R equirements: Bachelor's degree in Computer Science or related technical field, or equivalent work experience.
Proficiency in Python 3.8+ and frameworks such as Flask and AIOHTTP.
Knowledge of Golang or other programming languages is a plus.
Familiarity with big data tools and architectures, including BigQuery, Dataform, Apache Beam, Firestore, Cloudera Hadoop, HDFS, Hive, Snowflake, Spark, etc.
Experience with some of these tools is beneficial but not mandatory.
Experience with messaging systems such as GCP Pub/Sub, RabbitMQ, and Amazon SQS.
Experience with cloud platforms, particularly Google Cloud Platform (GCP), and GCP certification is a plus.
Strong experience in building and maintaining ETL systems.
Solid understanding of data structures, data modeling, and data warehousing concepts.
Advanced SQL skills, including the ability to write complex queries, stored procedures, and bulk data transfers.
Experience with CTE, recursion, window functions, and advanced grouping is required.
Some experience with DBA activities, including backup management, job scheduling, query optimization, indexing, and profiling (PostgreSQL experience is a plus).
Knowledge of API development, including basic understanding of HTTP, REST, and gRPC (gRPC experience is a plus).
Experience with telematics interfaces and streaming solutions such as MQTT, NiFi, Kafka, etc., is beneficial.
Familiarity with version control (Git) and CI/CD processes.
Knowledge of Docker is a plus.
Basic Machine learning experience or a strong desire to learn.
**We warmly invite applications in English.
Diversity & Inclusion at Sportserve At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace.
We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives.
Embracing diversity not only enriches our work culture but also drives innovation and excellence.
We are proud to be an equal opportunity employer, where everyone's contribution is valued and respected.
If you're a passionate about technology and looking to start your career in an international, forward-thinking Sports Betting company, we'd love to hear from you.
Apply now to become part of our exciting journey

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