IT Data Analyst — Spark, SQL & Big Data (Hybrid Katowice)

Experis Manpower Group; Katowice; Hybrid; PLN 90,000 - 130,000; Full time

Benefits offered by this job

Multisport card

Private healthcare

Group life insurance

Job summary

Experis Manpower Group in Katowice is seeking an IT Data Analyst to translate business needs into data processing solutions. You will work with large data sets, develop and maintain Spark-based data jobs, perform analysis, validation and troubleshooting, and collaborate with developers, IT Security teams, customers and stakeholders.

Requirements include SQL expertise, experience with Spark (or similar), knowledge of Python/Scala/Java/C#, and the ability to turn business requirements into

Qualifications

• Translating business requirements into data processing logic
• Working with large datasets and Spark-based jobs
• SQL proficiency required
• Experience with data validation and quality issues
• English at B2 level or higher
• Bachelor's or Master's degree in IT-related field

Responsibilities

• Analyze business and customer requirements and translate into data processing solutions
• Develop and maintain data processing jobs using Apache Spark
• Work with large data sets, including analysis, transformation, validation and troubleshooting
• Test and validate implemented solutions
• Cooperate with developers and IT Security teams
• Participate in continuous improvement of existing data processing and reporting solutions
• Attend meetings

Skills

Analytical thinking

SQL

Spark

Python

C#/Java/Scala

Communication

Data analysis

Stakeholders

Education

Bachelor's or Master's in IT

Tools

Apache Spark

Elasticsearch

Kibana

Kafka

Job description

Experis Manpower Group in Katowice is seeking an IT Data Analyst to translate business needs into data processing solutions. You will work with large data sets, develop and maintain Spark-based data jobs, perform analysis, validation and troubleshooting, and collaborate with developers, IT Security teams, customers and stakeholders.

Requirements include SQL expertise, experience with Spark (or similar), knowledge of Python/Scala/Java/C#, and the ability to turn business requirements into