Mid Spark Developer

MARGO

full-time

Posted on: 10/2/2025

Location Type: Hybrid

Location: Warsaw • 🇵🇱 Poland

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💰 PLN 115 - PLN 120 per hour

JuniorMid-Level

ApacheHadoopHBaseKafkaMavenSparkSQL

About the role

Join a dynamic Big Data team for one of our clients in the banking sector
Focus on large-scale data processing and machine learning implementation support
Be part of an innovative environment, collaborating closely with advanced analytics and data science experts across different business departments

Minimum 2 years of professional experience in Spark
Technical background (IT/Engineering studies)
Solid understanding of Big Data concepts, Data Warehousing, and Data Management
Experience with Hadoop platforms (Cloudera/Hortonworks)
Knowledge of engineering best practices for large-scale data processing: design standards, data modeling techniques, coding, documenting, testing, and deployment
Hands-on experience with data formats: JSON, PARQUET, ORC, AVRO
Understanding of database types and usage scenarios (Hive, Kudu, HBase, Iceberg, etc.)
Advanced SQL skills
Experience integrating data from multiple sources
Familiarity with project/application build tools (e.g., Maven)
Practical knowledge of Agile methodologies and tools (Jira, Confluence, Kanban, Scrum) (Nice to Have)
Experience with Kubeflow (Nice to Have)
Knowledge of streaming technologies such as Kafka, Apache NiFi (Nice to Have)
Familiarity with CI/CD automation processes and tools (Nice to Have)

Benefits

Salary range per month or rate per day
Ability to work in an international consulting company on ambitious projects
Permanent contract or B2B cooperation
Benefits such as medical care and sports card
Co-financing trainings, certification exams and post-graduate studies
Internal training and the possibility of using our know-how
Possibility to use our library free of charge
Individual approach and development opportunities (career path planning, ability to change the project and position, possibility to get involved in outside-project activities with additional remuneration)
Possibility to influence the shape of the company, openness to your ideas and willingness to implement them
Excellent working atmosphere, integration events

Tip: use these terms in your resume and cover letter to boost ATS matches.

SparkBig Data conceptsData WarehousingData ManagementHadoopJSONPARQUETORCAVROSQL