Senior Big Data Engineer (Databricks + AWS)

TL;DR

Senior Big Data Engineer (Databricks + AWS): Developing end-to-end data and analytics solutions with an accent on data pipeline creation and batch/streaming processing. Focus on building and managing large-scale data processing systems using Databricks, Spark, and AWS cloud services.

Location: Poland (Remote/Office)

Company

hirify.global is a global digital solutions company providing data consulting and engineering services across healthcare, finance, manufacturing, retail, and energy domains.

What you will do

• Build and manage end-to-end data pipelines using Databricks on AWS.
• Implement complex batch and streaming data processing solutions.
• Collaborate on the entire project lifecycle, from initial design and PoCs to MVP and full-scale implementation.
• Engage with a diverse range of customers, from global corporations to emerging crypto startups.
• Investigate new technologies and build internal prototypes for the hirify.global data community.

Requirements

• 4+ years of professional experience in the Big Data field.
• Proficiency in Python (PySpark) and SQL.
• Hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Experience developing data solutions on AWS and using orchestration tools like Apache Airflow or MWAA.
• Knowledge of streaming tools such as Apache Kafka, Amazon MSK, or Kinesis.
• Must be based in Poland.

Culture & Benefits

• Dedicated career development plan for all roles.
• Full access to Udemy learning courses for continuous upskilling.
• Company-covered professional certifications.
• Opportunity to work with cutting-edge, sometimes pre-release, cloud technologies.
• Collaborative environment focused on knowledge-sharing and expert mentorship.