Data Engineering Expert for Analytics

hace 1 semana


Málaga, Málaga, España The Workshop A tiempo completo

About The Workshop
We are a pioneering company in the gaming, betting, and fintech industries, with a global presence and a mission to create innovative online platforms that reach millions of users daily. Our motto is 'Fearlessly Forward,' guiding our teams as they work together to deliver cutting-edge solutions.

Job Description
You will be part of our Analytics team as a Senior Data Software Engineer, responsible for providing high-quality, trusted data sets to our internal clients using Python as the primary programming language. Your key tasks will include building and deploying ETL processes using unstructured and non-structured data sources.

Your Responsibilities
• Collaborate with team members to collect business requirements, define metrics, and design data models
• Build, deploy, and maintain a set of ETL processes using Python, Cron, and Airflow
• Access and understand data from various sources, including HDFS, Hive, Jira, Tableau, and Rest API requests
• Define and implement best practices to support a large set of ETL processes
• Create and own unit testing covering the scope of maintained ETLs
• Be the trusted point of contact for data modeling expertise, providing code review and training to the team
• Provide documentation on data models so that they can be quickly understood and used to deliver value by the analytics team
• Conceptualize, evaluate, and build proof of concepts on new models, tools, and techniques
• Collaborate, peer review, cross-skill, and share expertise with other team members
• Performance tuning of the system and work on new ways to increase efficiency

What You'll Bring
To excel in this role, you should have a Bachelor's degree in Computer Science or a related field, along with 5+ years of experience in data analytics engineering. Your strong background in handling relational, semi-structured, and unstructured data is essential, as well as your knowledge of database design and development with previous experience in developing ETL processes and multidimensional data models.

Required Skills and Qualifications
• Strong experience working with high velocity and high volume data
• Good understanding of both relational and multidimensional modeling principles
• Deep knowledge of Object-Oriented Programming languages and strong experience in Python
• Experience with a variety of data sources, including data lakes (Cloudera)
• Good working knowledge with Kubernetes and Git
• Solid experience with relational and analytical database systems like Postgres
• Solid experience with SQL queries and database tuning
• Proficiency in data visualization tools (e.g., Tableau, Power BI) will be beneficial for communicating insights effectively

Estimated Salary: $120,000 - $180,000 per year
This estimate is based on industry standards and the level of expertise required for this position.



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