Data Engineer

At Quantox, we grasp the challenge, target the essence, and make it possible. With leading technology as a tool and our people as the biggest power force, we believe in creating advanced results – joining tech, creativity, and data analytics with a thorough approach. Merging deep interest in software web development with qualitative insights and clear purpose gives us a better understanding of our clients and users and the opportunity to unlock creative power in delivering innovations.

We are looking for a skilled Data Engineer  to join our team for an exciting project starting from scratch. 

  You can expect from us:

• Private health insurance
• Flexible working hours
• Additional paid days off
• Work model of your choice - fully remote, hybrid or work from any of our offices
• Paid mentorship program - if you see a higher value and joy of mentoring less experienced colleagues
• Boost of team connection through employee gatherings and team building activities
• Discount for your family members on Quantox IT Academy courses
• Referral bonuses for employment

You can expect these responsibilities:

• Setting up basic design elements of the Data Warehouse (1 week)
• Setting up currency conversions in dashboard (1 day)
• Manual data ingestion (APEX, Planning Data, 3rd Party Vendors)
• Get access to accounts: service accounts & personal accounts
• Creating reports in platform to ensure data consistency
• Using Adverty to connect and ingest data from API and store in Data Warehouse (Snowflake)
• Using direct API to create parallel data stream
• Enriching data using Campaign Taxonomy (Campaign and Adgroup) with data-bricks
• Connecting with CM360 data to gather revenue
• Creating views/tables (Gold) to power the BI dashboard, Paid Search Deep Dive Dashboard, Paid Social Deep Dive Dashboard, and Programmatic Deep Dive Dashboard
• Dev to Test environment migration

Our requirements:

• 2 years of experience as Data Engineer
• Proficiency in programming languages, such as Python, SQL
• Proficiency in Snowflake Data Warehouse
• Experience with data ingestion from APIs
• Strong data modeling and mapping skills
• Familiarity with Campaign Taxonomy and data enrichment techniques
• Ability to collaborate with cross-functional teams
• Excellent problem-solving and analytical skills
• Experience with big data
• Familiarity with data integration and ETL tools
• Development of scripts using , Python, etc. for loading, extracting, and transforming data.

Note: This position is fully remote. Start date is as soon as possible.