Data Engineer

About Us:

At Rapsodo we're harnessing the power of data to drive innovation and performance across a diverse range of sport industries. With a focus on cutting-edge technologies like BigQuery, Pub/Sub, PostgreSQL, MongoDB, ElasticSearch, Looker, and PowerBI, our team is dedicated to delivering insights that matter. As we continue to grow, we're looking for experienced and passionate data engineers to join our dynamic team.

Role Overview:

As a Data Engineer at Rapsodo, you'll be at the heart of our operations, ensuring the seamless integration and functionality of our data systems. You'll work closely with a team of experts to design, build, and maintain scalable and robust data pipelines that support our analytics and business intelligence efforts.

Key Responsibilities:

- Design, construct, install, test, and maintain highly scalable data management systems.

- Ensure systems meet business requirements and industry practices.

- Integrate new data management technologies and software engineering tools into existing structures.

- Collaborate with data architects, modelers, and IT team members on project goals.

- Develop set processes for data mining, data modeling, and data production.

- Create custom software components and analytics applications.

- Employ a variety of languages and tools to marry systems together.

- Recommend ways to improve data reliability, efficiency, and quality.

- Extract, load, and transform (ELT) processes optimization.

- Support business decisions with ad hoc analysis as needed.

Requirements:

- Minimum of 3 years' experience in a Data Engineering role.

- Strong knowledge of and experience with databases (e.g., PostgreSQL, MongoDB), programming (e.g., Python, Java, Scala)

- Experience with Big Data tools (e.g., Hadoop, Spark) and data pipeline and workflow management tools (e.g.Airflow)

- Proficient in SQL, data modeling, and data warehousing principles.

- Experience with business intelligence tools (e.g., PowerBI, Looker)

- Familiarity with cloud services (AWS, Google Cloud Platform) and understanding of streaming data tools like Kafka, Pub/Sub.

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.