Senior Data Engineer (Python, AWS)

Responsibilities

• Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
• Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
• Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.
• Proficient in Python and SQL
• Strong experience with Relational and ideally NoSQL databases.
• Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
• Strong understanding of ETL/ELT processes.
• Exposure to data monitoring and observability tools.
• Relevant experience with Event-Driven Architecture
• Good understanding of Agile ways of working
• Discover some of the global benefits that empower our people to become the best version of themselves:
• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

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