Expression of Interest - Snowflake Data Engineer
Company Description:Exciting projects are coming up in the near future, so if you’re interested and already have the knowledge, apply and let’s get in touch!
We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world.Over a Decade of Mastery:
For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow.Our Commitment:
At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system.Check out our Website, LinkedIn page, and YouTube channel to get an insight into who we are and how we work!Job Description:We expect you to be a data-oriented person with data/software engineering chops and at least a pinch of business understanding.You will be building data pipelines in Snowflake, sometimes as a Hiflylabs team member and sometimes more deeply intertwined with the clients’ organization. Depending on the assignment and its phase you will be designing and implementing data ingestions and transformation logics, and sometimes optimize complex ETL processes. You will be working with technical-focused as well as business-oriented colleagues, so you will have the ability to do deeply technical work as well as converse with product managers and end users and see how your work drives the organization forward.Main TasksDesign and implement Data Pipelines in SnowflakeDevelop ingestion pipelines from various sources (via Snowpipe and other means)Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt)Optimize existing pipelines and transformations for cost, load time, and maintainabilityAutomate data ingestion and transformation (often with Airflow or similar tools)Help business users to formulate their needs on the one hand and to make the most of the data platform on the other hand.Qualifications:RequirementsWorking experience with and in-depth knowledge of Snowflake and its family of tools, preferably over multiple projects. As an orientation, you are likely to have 2+ years of hands-on Snowflake experience.Data transformation background: sound conceptual understanding and practical experience of data modeling and ETL processing, including extensive knowledge of SQL, including Snowflake’s SQL flavor. As an orientation, you are likely to have 4+ intensive years in the field.At least some experience in cloud data management in AWS or GCP data stack components (primarily batch data management, storage, loading, transformation of structured data, Data Lake storage and management tools).Team player with ability and explicit willingness to cooperate with other team members, including non-technical business stakeholders in moving the project forward. For this you need to be proactive, and to have some level of business understanding and a genuine interest in the business impact of the project.Strong technical and business English (oral, reading and writing).AdvantagesSnowPro certification, preferably SnowPro Advanced Data Engineer.Development background in Python, preferably focused on data ingestion / transformation.PySpark / Spark experience.Additional Information:Why us?Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.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. Don't lose sight of the goal, the rest is up to you. Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best. Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.
Apply Now
We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world.Over a Decade of Mastery:
For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow.Our Commitment:
At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system.Check out our Website, LinkedIn page, and YouTube channel to get an insight into who we are and how we work!Job Description:We expect you to be a data-oriented person with data/software engineering chops and at least a pinch of business understanding.You will be building data pipelines in Snowflake, sometimes as a Hiflylabs team member and sometimes more deeply intertwined with the clients’ organization. Depending on the assignment and its phase you will be designing and implementing data ingestions and transformation logics, and sometimes optimize complex ETL processes. You will be working with technical-focused as well as business-oriented colleagues, so you will have the ability to do deeply technical work as well as converse with product managers and end users and see how your work drives the organization forward.Main TasksDesign and implement Data Pipelines in SnowflakeDevelop ingestion pipelines from various sources (via Snowpipe and other means)Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt)Optimize existing pipelines and transformations for cost, load time, and maintainabilityAutomate data ingestion and transformation (often with Airflow or similar tools)Help business users to formulate their needs on the one hand and to make the most of the data platform on the other hand.Qualifications:RequirementsWorking experience with and in-depth knowledge of Snowflake and its family of tools, preferably over multiple projects. As an orientation, you are likely to have 2+ years of hands-on Snowflake experience.Data transformation background: sound conceptual understanding and practical experience of data modeling and ETL processing, including extensive knowledge of SQL, including Snowflake’s SQL flavor. As an orientation, you are likely to have 4+ intensive years in the field.At least some experience in cloud data management in AWS or GCP data stack components (primarily batch data management, storage, loading, transformation of structured data, Data Lake storage and management tools).Team player with ability and explicit willingness to cooperate with other team members, including non-technical business stakeholders in moving the project forward. For this you need to be proactive, and to have some level of business understanding and a genuine interest in the business impact of the project.Strong technical and business English (oral, reading and writing).AdvantagesSnowPro certification, preferably SnowPro Advanced Data Engineer.Development background in Python, preferably focused on data ingestion / transformation.PySpark / Spark experience.Additional Information:Why us?Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.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. Don't lose sight of the goal, the rest is up to you. Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best. Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.
Apply Now