Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.
April 10
Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.
β’ Design and implement Data Pipelines with platform services and serverless solutions. β’ Develop, and test ingestion pipelines from various sources. β’ Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt). β’ Automate data ingestion and transformation (often with Airflow or similar tools).
β’ Data transformation background: sound conceptual understanding and practical experience of data modeling and ETL processing, including extensive knowledge of SQL. β’ Intermediate software development background, preferably in Python and/or focused on data transformation. β’ At least some experience in cloud data management, preferably in AWS or GCP data stack components. β’ Strong technical and business English (oral, reading and writing). β’ Team player, ability to lead the team and work with others. β’ Willing to own the project delivery. β’ Proactive in finding solutions. β’ Eager to learn and improve.
β’ International projects, diverse challenges. β’ Advanced technologies. β’ Empowerment. β’ Flexible ways of working. β’ Balanced life. β’ Mentoring from your first day. β’ Learning & Development opportunities. β’ Supportive corporate culture. β’ Lots of fun.
Apply NowOctober 2, 2024
Swile seeks an Analytics Engineer to develop data solutions for employee benefits.
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