Data Engineer - Azure, Databricks & Spark (Hybrid)

Inetum; Warszawa; Hybrid; PLN 167,400 - 223,200; Full time

Benefits offered by this job

Flexible working hours

Cafeteria system for personalized benefits

Generous referral bonuses

Dedicated team-building budget

Opportunities to participate in charitable initiatives

Job summary

A global digital transformation firm is seeking experienced Data Engineers to enhance their Big Data processing projects. The ideal candidate should have solid experience with SQL, Databricks, and Azure cloud services, alongside knowledge in Python and Spark. This role offers a hybrid work model, allowing for flexibility in working arrangements. Join a supportive team culture that promotes professional growth and development opportunities, making a significant impact on various data initiatives.

Qualifications

• Experience in Big Data processing projects utilizing Databricks and Spark framework is preferable.
• Good knowledge of SQL and Databricks.
• Experience with Data Processing and Storage services of Azure cloud.

Responsibilities

• Work on Data Engineering tasks using Databricks and Spark.
• Develop and manage data processing solutions.

Skills

Good knowledge of SQL

Experience with Data Processing and Storage services of Azure cloud

Development in Python experience

Data Engineering experience

Common knowledge of BigData processing standards and tools

Experience on Spark platform

Job description

A global digital transformation firm is seeking experienced Data Engineers to enhance their Big Data processing projects. The ideal candidate should have solid experience with SQL, Databricks, and Azure cloud services, alongside knowledge in Python and Spark. This role offers a hybrid work model, allowing for flexibility in working arrangements. Join a supportive team culture that promotes professional growth and development opportunities, making a significant impact on various data initiatives.