Middle Data Engineer in Hygge

Пряме повідомлення учасника, який розмістив вакансію, з Hygge Anastasiia Shafranska Technical Recruiter at Hygge Software 🔹 Lead Committed Recruiter at Wootitude Are you passionate about working with data and excited about making a real impact? We’re seeking a talented Junior+/Mid-Level Data Engineer to join our dynamic team. If you’re eager to grow your skills and dive into an exciting project focused on revolutionizing the tours, activities, and experiences industry, we want to hear from you!In this role, you’ll help us build and maintain the infrastructure that powers our cutting-edge revenue management tool. If you’re ready to roll up your sleeves, collaborate with a talented team, and tackle new challenges, this is your chance to shine!Our project is a revenue management tool built to power the growth of the tours, activities, and experiences industry. We aim to optimize revenue strategies and provide actionable insights to help our clients maximize their profitability.Responsibilities:Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).Assemble large, complex data sets that meet functional/non-functional business requirements.Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery.Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and big data technologies.Collaborate with data scientists and analysts to strive for greater functionality in our data systems.Ensure data quality and integrity through regular monitoring and testing.Support the data needs of multiple teams, systems, and products.Requirements:3 years of experience in data engineering.Strong SQL skills and experience with relational databases (MySQL, PostgreSQL).Experience with data pipeline and workflow management tools (Apache Airflow, Luigi).Proficiency in PythonKnowledge of big data tools and technologies (Hadoop, Spark, Kafka).Understanding of data warehousing solutions (Redshift, BigQuery).Familiarity with cloud platforms (AWS, GCP, Azure).Basic knowledge of ETL processes and data integration.Prioritize writing code that is simple, well-tested, and easy to maintain by others Additional Skills:Strong analytical and problem-solving skills.Good communication and collaboration abilities.Eagerness to learn new tools and technologies.Ability to work in a fast-paced, dynamic environment.Attention to detail and a proactive attitude.We offer:Flexible working hours;Remote work;Paid overtime;Competitive compensation depending on experience and skills;A flat and transparent hierarchy;Employee development plan;Employee referral program;A chance to be a part of a casual but professional environment where you will have a safe place to upgrade yourself Show more Show less Type of employment Full-time