We are looking for an experienced data engineer with a passion for engineering practices to join our team and help to redefine software excellence in the industry.
You will have an opportunity to own the whole data flow, from fetching the data and until visualizing it for users.
Your Responsibilities:
Be responsible for designing the full data flow, from extraction to visualizing in external tools, implementing, and maintaining it
You will translate User and Product manager requirements into a technical design and implement it to be part of large data engineering solutions
Support robust, scalable solutions to enhance business analysis capabilities, identify gaps and design processes, and fill them
Work with cutting-edge big-data tools and techniques
Collaborate with R&D, architects, data scientists, analysts, Projects Managers and DevOps in order to deliver the right solution
Requirements: At least 3 years of experience in Big-Data technologies as a data engineer, including ETL/ELT processes and data exploration
At least 3 years of experience with Spark, Spark Streaming, Databricks, Airflow and other components required in building end-to-end data pipelines.
At least 3 years of experience in Python programming and SQL queries
At least 1 year of experience in data visualization tools, such as PowerBI, Tableau
At least 1 year of experience in cloud big data solutions and architectures (Azure)
Deep knowledge of Big Data design principles and guidelines
Strong experience in Javascript/Java programming languages
Excellent interpersonal and communicational skills, a team player
Excellent self-management skills, ownership skills, and understanding of the business
Bachelor in Mathematics/Statistics/Computer Science
This position is open to all candidates.
