Data Engineer for AE and SE Domain in Stockholm

Veritaz is a fast-growing IT-consultant firm. Our company is made up of insanely bright people from over 4 countries, and we are located in Sweden, UK, US and Pakistan. The voyage has been incredible this far, but it is only the beginning.
We are currently looking for passionate experienced and result-oriented candidates for the role of a Data Engineer with a professional background and exemplary concepts to join our team.


Key Responsibilities:
As a data engineer, you will be part of a team that is responsible for all aspects of data services, including management dashboards, data warehousing, real-time decisioning pipelines, and data quality measures frameworks.
The job entails creating and maintaining data pipelines, data warehouses, data frameworks, and various data presentation techniques. Data Scientists, Business Analysts, other Engineers building Insights, and all employees who need data in their daily work will be your customers.
We have fantastic teams who look after this and have become experts in various areas of the domain where sharing and collaboration are critical. Join the group in charge of data. The team is pushing for participation in this project from up to Data Engineers at various levels.
The work will be divided based on the people we've hired. The tasks include:
Turn data models into products so the organization can make data-driven decisions.
Create and maintain datasets with a product mindset in mind, aiming for high quality and user experience.
Assisting analysts and other engineers across the organization in writing faster SQL
Pipeline migration
Assisting with day-to-day operations and ensuring that transformation is running smoothly.





Education, Expertise, and experience requirements:
The candidate must Relevant education, such as a bachelor's degree in engineering or equivalent skills;
Experience as a Data Engineer, similar positions, or demonstrated modelling abilities is also required;
Can navigate any of the following technologies on their own: AWS Reshift, Snowflake, Hadoop, Spark, AWS EMR, AWS Glue, QlikSense;
A burning curiosity and interest in data, fast data, big data, data governance, data models, data warehouses, data insights - or all of the above!




Other:
Some of the technologies you’ll be using are:
● SQL
● PySpark
● AWS (Redshift, S3, Glue, EMR)
● Apache Airflow
Scope: 100%
Language Requirements: Mastery of the English language in both speech and writing is required.
Location: Stockholm


So, what are you still waiting for? Join us on our adventure!