Expert Data Engineer IT Developer

Your responsibilities

• Design and build high-performance, distributed Big Data pipelines

• Process, transform, and enrich large-scale datasets using Apache Spark

• Develop solutions supporting data analytics, reporting, and business decision-making

• Collaborate with data analysts and business stakeholders to build data models

• Maintain and develop solutions based on Hadoop and Big Data technologies

• Automate data processing workflows

• Work closely with QA and other technical teams

Requirements

• Strong knowledge of Scala and Apache Spark

• Experience working with Python

• Hands-on experience with the Hadoop ecosystem: YARN, EMR, Sqoop, Hive, Oozie

• Strong knowledge of SQL

• Practical experience with Linux systems

• Experience working with AWS cloud

• Good command of English (working in an international environment)

Nice to have

• Experience in migrating data from on-premise to cloud environments

• Experience working in Agile / SAFe frameworks

• Experience handling large-scale data and near real-time processing systems

About the project

You will join a team developing a central data platform for a large enterprise. The project includes:

• Building and developing distributed Big Data processing systems

• Migrating solutions to public cloud (AWS)

• Creating components supporting advanced analytics and data visualization

• Working in a SAFe environment with regular PI Planning sessions

What we offer

• Participation in large-scale projects with real business impact

• Work with a modern technology stack (Scala, Spark, Python, AWS, Hadoop)

• Opportunity to take part in a cloud transformation of a large organization

• Flexible hybrid work model (approx. 1 day per week in the office)

• Occasional team meetings in Tricity (PI Planning)

Additional information

• Work model: hybrid (1 day per week in the office)

• Office locations: Tricity / Warsaw / Łódź