Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field or equivalent experience, Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java), 3+ years of direct experience working with Python and high volume distributed data processing in Spark, Strong working knowledge of SQL, databases, and modern data warehouse management..

Key responsibilities:

Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark, and Airflow

Collaborate closely with Data Scientists to turn theory and methodology into viable products

Identify bottlenecks in system performance and recommend improvements

Mentor and guide junior team members on architectural principles and best practices.

Job description

Holisticon Insight is a division of http://nexergroup.com focused on IoT, AI, and advanced analytics. We assist our customers in developing IoT services, portals, and mobile apps and, above all, analyze data using AI and advanced analytics to reduce costs, streamline, and find new opportunities for the business. Our goal is to grow strong but rather in competencies than in numbers. We get things done and, on the way, we build a dynamic company culture to create the best place for our development. We love the atmosphere of a family business with its flat structure and self-organized teams where every opinion matters and influences our way of working

B2B: 160 - 190 PLN net/hour + VAT

UoP: 20283 - 24087 PLN gross/month

Check us out! 👇

https://holisticon.pl/holisticon-insight/

Join a dynamic, international data team working on one of the largest global platforms for measuring internet performance. You'll collaborate closely with data scientists, analysts, and product managers to build scalable, high-performance data pipelines and infrastructure that support a wide range of analytics and product initiatives.

In this role you will:

Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
Work closely with Data Scientists to turn theory and methodology into viable products
Identify bottlenecks in system performance and make recommendations on improving process efficiency
Support and collaborate with data scientists, analysts, and product managers
You are enthusiastic about mentoring and guiding junior team members, helping them understand architectural principles, best practices, and effective ways of working.

You might be the perfect match if you possess the following competencies:

Bachelor's degree in Computer Science or related field or equivalent experience
Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java)
Strong background and 3+ years of direct experience working with Python
Experience with high volume distributed data processing in Spark
Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management
Excellent troubleshooting and analysis skills
Excited to learn and work with new technologies in a dynamic environment
Strong communication skills both in person and via virtual mediums
Strong time management skills and a self driven work ethic
Experience with AWS cloud services is a plus
Experience with event driven architecture and streaming data pipelines is a plus

By joining Holisticon Insight you will get: