Senior Big Data Engineer (AWS)

Python

Senior Big Data Engineer (AWS)

Python
Jaworska 11-13, Wrocław

SoftServe

Undetermined
B2B
Senior
Remote
3 891 - 5 837 USD
Net per month - B2B

Job description

WE ARE
At SoftServe we are advisors and providers who operate on the cutting-edge of technology. With you, we set goals and reach them to grow better together, learning from both successes and mistakes. We are a team of 10 000+ thinkers and makers in more than 30 offices worldwide, true professionals and good people, who like what we do and do it well. We are a leading software developer in Europe and the largest Ukrainian IT company – from Engineering to Architecture, Business Analytics to Project Management, Artificial Intelligence to Customer Support solutions and so much more. Here you can choose from a variety of paths to grow your career.

We are looking for an experienced Big Data Engineer to join a project for a Swedish retail company.

YOU ARE
  • An Intermediate Strong/Senior Software Engineer
  • Working with Python and AWS
  • Proficient in writing SQL queries
  • Experienced in an Agile way of working
  • Showing practice working with modern tools like JIRA, Jenkins, Github
  • Expertised with Apache Spark and Apache Airflow
  • Skilled with Data warehouses and DataVault (as an advantage)
  • Confidently using English at a fluent level (written and spoken)

YOU WANT TO WORK WITH
  • Amazon Redshift, AWS Glue, and Apache Airflow
  • Apache Spark
  • Teradata and Informatica
  • AWS cloud concepts and capabilities (IAAS/PAAS/SAAS, object storage, virtual machines, fully managed services, serverless computing)
  • SQL queries

TOGETHER WE WILL
  • Communicate with world-leading companies and experienced people
  • Get certifications in cutting-edge technologies
  • Be able to work with the latest modern tools and technologies on different projects
  • Have access to strong educational and mentorship programs
  • Participate in conferences, training, seminars as well as our company events
  • Get a friendly team and the possibility of professional growth
  • Enjoy a flexible schedule and working hours


Tech stack

    Python

    advanced

    AWS

    advanced

Office location

Published: 21.09.2021