Senior Analytics Engineer

November 10

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Description

• Design and implement Data Pipelines with platform services and serverless solutions. • Develop, and test ingestion pipelines from various sources. • Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt). • Automate data ingestion and transformation (often with Airflow or similar tools).

Requirements

• Data transformation background: sound conceptual understanding and practical experience of data modeling and ETL processing, including extensive knowledge of SQL. • Intermediate software development background, preferably in Python and/or focused on data transformation. • At least some experience in cloud data management, preferably in AWS or GCP data stack components. • Strong technical and business English (oral, reading and writing). • Team player, ability to lead the team and work with others. • Willing to own the project delivery. • Proactive in finding solutions. • Eager to learn and improve.

Benefits

• International projects, diverse challenges – Through Hiflylabs’ global nature you can work with clients and partners from all over the world. • Advanced technologies - While immersing yourself in mind-blowing projects and tasks, you’ll discover cutting-edge tools & technologies. • Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. • Flexible ways of working – We respect our people to do their work when and how it works best. • Balanced life - A healthy work/life balance is essential! • Mentoring from your first day – Continuous support throughout your career path. • Learning & Development opportunities - We look forward to helping you unlock your potential. • Supportive corporate culture - Based on comradery, mutual support, and respect. • Lots of fun – Engaging community events including wine tasting, FIFA & foosball tournaments.

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