Position: Senior Data Engineer
Company: Edvantis Software
Experience required: 3y
English level: upper

Required skills

— 2+ years of data science experience, retail setting preferred
— 3+ years of Python/Java programming experience
— Familiarity with Big Data techs such as Hadoop and Spark
— Working knowledge of data science and machine learning foundations
— Experience with SQL, Datasets/Databases, Spark, Dask
— Azure, Flask, Exasol, Parquet
— Bachelor’s Degree in Computer Science or related fields
— English level — Upper-Intermediate

We offer

— Career and professional growth
— Competitive salary
— Friendly and highly professional teams
— Big and comfortable office, own parking area, restaurants nearby
— Corporate events twice a year, teambuilding
— Paid sick leaves and holidays
— Paid 18 working vacation days
— Free English/German language courses in our office
— Comfortable office facilities (kitchens, shower, sports activities: athletics, coffee/tea points, food delivery services, etc.)

Responsibilities

— Work together with the machine learning experts, engineers, and project managers to advance our data science products
— Design and develop data-intensive distributed systems in Python with a focus on data engineering
— Support onboarding new customers with your expertise in organizational or data-intensive tasks
— Work in an agile team with emphasis on quality, testability, and automation
— Participates in team activities such as backlog grooming, planning, daily stand-ups, and retrospectives

Project description

We’re opening the position of Senior Data Engineer to create a new team to develop new functionality for our customers. They provide SAAS solutions that help companies to optimize their businesses. These solutions include business planning & execution, processes automation, and optimization. The Customer’s platform leverages industry-leading artificial intelligence (AI) and machine learning (ML) for better predictions and prevention of disruptions across the businesses. Customers value our experience and want to extend a team to develop new functionality.
Working with the leading customer in the industry using modern tools and technologies