Data Pipeline Analyst at Hiflylabs

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Excel, English Communication, Analytical Skills, Problem-Solving, Python, Snowflake, Dataiku

Industry

IT Services and IT Consulting

Description

Company Description Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems. Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors. We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development. Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups. Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel! Job Description Responsibilities Managing and migrating ETL pipelines between various source systems Validating pipeline build success and output data quality Communicating with business stakeholders and SME's regarding their respective data domain Analysing and resolving any blockers/issues with the ETL pipelines and data discrepancies Working closely with the other team members to ensure best practices and know-hows are kept up to date Supporting data migration activities across various systems and platforms Providing operational support within the Snowflake environment Documenting and tracking work handed over Qualifications Requirements Strong SQL knowledge. Advanced Excel skills. Good communication skills in English, both written and spoken. Strong analytical and problem-solving skills. A proactive mindset with a focus on continuous improvement. Ability to manage multiple priorities and switch effectively between tasks. Nice to have Experience with Python / Snowflake / Dataiku. Multinational company experience Additional Information Working model Hybrid working model: 3 days on-site and 2 days working from home each week. Once every two weeks, you will work adjusted hours aligned with the New York time zone to support business operations. 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. Tag: DATA ENGINEERING

Responsibilities

The role involves managing and migrating ETL pipelines while validating data quality and resolving discrepancies. The analyst will collaborate with stakeholders and provide operational support within the Snowflake environment.