Senior Data & Analytics Engineer (Short-term) (3659) @ N-iX
(práce v Polsku)

Senior Data & Analytics Engineer (Short-term) (3659) @ N-iX

Polsko

• 5+ years of experience in Data Engineering or Analytics Engineering roles
• Strong experience building and maintaining pipelines in BigQuery, Athena, Glue, and Airflow
• Advanced SQL skills and experience designing dimensional models (star/snowflake)
• Experience with AWS Cloud
• Solid Python skills, especially for data processing and workflow orchestration
• Familiarity with data quality tools like Great Expectations
• Understanding of data governance, privacy, and security principles
• Experience working with large datasets and optimizing performance
• Proactive problem solver who enjoys building scalable, reliable solutions
• English - Upper-Intermediate+Great communication skills

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. The company is now merging with a similar company in Canada and needs support in this way. As a  Data& Analytics Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

,[Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver solutions, Build and maintain robust data pipelines that deliver clean and timely data, Organize and transform raw data into well-structured, scalable models, Ensure data quality and consistency through validation frameworks like Great Expectations, Work with cloud-based tools like Athena and Glue to manage datasets across different domains, Help set and enforce data governance, security, and privacy standards, Continuously improve the performance and reliability of data workflows, Support the integration of modern cloud tools into the broader data platform] Requirements: Python, AWS, Snowflake, dbt, SQL, Data engineering, BigQuery, Glue, Athena, Security, AWS Cloud, Communication skills, Airflow, GCP, CI/CD Additionally: International projects, Competition of certification, Flexible working hours and remote work possibility, Active Tech community, Free coffee, Modern office.

Kategorie

data

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