Diagnose complex data warehouse ETL processes, business logic failures and data flows, to quickly resolve issues
Manage large-scale processing systems and institute scalable data solutions
Conceptualize and generate infrastructure that allows big data to be accessed and analyzed
Develop and maintain technical specification documentation for all reports and processes
Construct dataset procedures that enable data mining, modeling, and production

Degree in Computer Science, Engineering, Informatics, or any other closely related field
2
5 years’ experience in data engineering
Experience in logical and physical database design
Knowledge of data management concepts (e.g., permissions, recovery, security, and monitoring)
Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources
Experience with relational & non-relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Ability to solve complex networking, data, and software issues
Excellent command of the English language both written and spoken
Military obligations fulfilled, if applicable
Desirable Knowledge: Experience with Google Cloud Platform, Microsoft Azure, Snowflake, dbt, BigQuery, Microsoft Fabric
Experience with Spark, or the Hadoop ecosystem and similar frameworks
Knowledge of Python, Kafka, Scala or Java, and a willingness to learn new programming languages to meet goals and objectives
Prior working experience in telecommunications
Personal Skills: Structured and analytical thinking with focus on results
Ability to build rapport with colleagues and customers (team player)
Self-motivation, confidence, courtesy

Competitive salary
Group Medical Plan
Agile company culture embracing simplicity, speed, flexibility, autonomy and diversity
Multi-project team environment with experienced high-caliber professionals delivering mission-critical applications that impact hundreds of users
Exposure to modern technologies & techniques
Continuous training opportunities aiming at professional mastery and personal growth

Data Engineer

Key skills