Chief Data Solutions Architect

Overview We are a leading provider of digital technology services, certified as a Top Employer and Great Place to Work company. We lead large-scale solutions to major companies. This is your chance to work on innovative projects that leverage the latest technologies with one of our prestigious clients in the banking sector.

Key Responsibilities Develop, test, and deploy robust data processing solutions using PySpark and Python.

Design and implement scalable data pipelines leveraging AWS Services such as Glue, EMR, Lambda, Athena, S3, VPC, and EC2.

Maintain and enhance code repositories using GitHub following best practices for version control and collaboration.

You will have proficiency in Python and PySpark, hands-on experience with AWS Services, experience with GitHub, and fluency in English.

Required Skills and Qualifications Familiarity with QlikSense for data visualization and reporting.

Experience in setting up and managing deployment pipelines for new infrastructure in AWS.

Proficiency in Java and SQL for additional development and database management tasks.

Benefits We offer hybrid working arrangements (three days in office, two days remote), numerous benefits, flexible retribution, free access to training platforms, and real work-life balance measures.

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