Data Transformation Specialist

2 weeks ago

Remote Warsaw Wrocław Białystok Kraków Gdańsk, Czech Republic beBee Careers Full time

Data Transformation Specialist

Job Overview

We are seeking a skilled Data Transformation Specialist to join our team. As a key member of our data engineering team, you will be responsible for designing and implementing end-to-end data platforms, ensuring high availability, performance, and reliability.

About the Role
  • Design and Optimize Scalable Data Processing Pipelines: Develop and implement efficient data processing pipelines using Big Data technologies such as Databricks, Apache Airflow, and Dagster.
  • Architect and Implement End-to-End Data Platforms: Design and implement comprehensive data platforms that meet the needs of various stakeholders.
  • Lead CI/CD and MLOps Processes: Develop and maintain processes for automating deployments, monitoring, and model lifecycle management.
  • Collaborate with Data Science Teams: Work closely with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment.

The ideal candidate will have a strong background in data engineering, experience with Big Data technologies, and excellent problem-solving skills. If you are passionate about working with data and enjoy solving complex problems, we encourage you to apply for this exciting opportunity.

Key Responsibilities
  • Design and Implement Data Transformations: Use Databricks, DBT, and Apache Airflow to design and implement complex data transformations, ensuring data integrity and consistency.
  • Translate Business Requirements into Technical Solutions: Take business requirements and translate them into scalable and efficient technical solutions, ensuring optimal performance and data quality.
  • Ensure Data Security and Compliance: Ensure that data security, compliance, and governance best practices are followed across all data pipelines.
  • Collaborate with Cross-Functional Teams: Work closely with cross-functional teams to ensure seamless integration of data systems.
Requirements
  • Python, SQL, and ETL expertise
  • Azure and Databricks experience
  • Spark, Kafka, and Power BI knowledge
  • CI/CD and Kubernetes understanding
  • Agile and Scrum methodologies
Benefits
  • Flexible Working Hours
  • Remote Work Possibility
  • Private Healthcare
  • Multisport Card
  • Referral Bonus
  • Training Budget
  • Language Classes
  • Team Building Events
What We Offer

We offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive salary package.

We value diversity and inclusion and welcome applications from qualified candidates from diverse backgrounds.

Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you

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