data engineer in pharma
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ERNI provides data engineering solutions for the pharmaceutical sector, including scalable data pipelines and cloud-based data platforms. Задачи:
Design, develop, and optimize scalable ETL pipelines and cloud-based data solutions using AWS technologies Ensure data quality, security, and performance Use Databricks, Snowflake, and AWS services Collaborate with cross-functional teams Implement infrastructure as code Troubleshoot data-related issues Contribute to continuous improvements in data engineering practices Требования:
Proven experience in data engineering, including building and maintaining scalable ETL pipelines Proficiency in Python, Java, or Scala Familiarity with big data technologies such as Spark or Hadoop Hands-on experience with AWS data services such as S3, Glue, Athena, and Redshift Knowledge of data quality, data integration, security, and performance optimization Strong communication skills Fluent English Условия:
Certification costs are covered; technical achievements are rewarded up to €1,500 Private health insurance Full coverage for sick leave Free emotional, legal, and family support Gym discounts or sports compensation Flexible remuneration for meals, transport, childcare, and other items Referral bonuses of up to €6,000 per candidate and €5,000 per client 23 Working days of vacation Free language courses in English, Spanish, Catalan, and German 40-Hour workweek
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data engineer in pharma
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