Data Engineer In Pharma
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Role details
Tech stack
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Job description
????????:ERNI provides data engineering solutions for the pharmaceutical sector, including scalable data pipelines and cloud-based data platforms.??????:Design, develop, and optimize scalable ETL pipelines and cloud-based data solutions using AWS technologiesEnsure data quality, security, and performanceUse Databricks, Snowflake, and AWS servicesCollaborate with cross-functional teamsImplement infrastructure as codeTroubleshoot data-related issuesContribute to continuous improvements in data engineering practices??????????:Proven experience in data engineering, including building and maintaining scalable ETL pipelinesProficiency in Python, Java, or ScalaFamiliarity with big data technologies such as Spark or HadoopHands-on experience with AWS data services such as S3, Glue, Athena, and RedshiftKnowledge of data quality, data integration, security, and performance optimizationStrong communication skillsFluent English???????:Certification costs are covered; technical achievements are rewarded up to β¬1,500Private health insuranceFull coverage for sick leaveFree emotional, legal, and family supportGym discounts or sports compensationFlexible remuneration for meals, transport, childcare, and other itemsReferral bonuses of up to β¬6,000 per candidate and β¬5,000 per client23 Working days of vacationFree language courses in English, Spanish, Catalan, and German40-Hour workweek#J-*****-Ljbffr
Requirements
??????:Design, develop, and optimize scalable ETL pipelines and cloud-based data solutions using AWS technologiesEnsure data quality, security, and performanceUse Databricks, Snowflake, and AWS servicesCollaborate with cross-functional teamsImplement infrastructure as codeTroubleshoot data-related issuesContribute to continuous improvements in data engineering practices??????????:Proven experience in data engineering, including building and maintaining scalable ETL pipelinesProficiency in Python, Java, or ScalaFamiliarity with big data technologies such as Spark or HadoopHands-on experience with AWS data services such as S3, Glue, Athena, and RedshiftKnowledge of data quality, data integration, security, and performance optimizationStrong communication skillsFluent English???????:Certification costs are covered; technical achievements are rewarded up to β¬1,500Private health insuranceFull coverage for sick leaveFree emotional, legal, and family supportGym discounts or sports compensationFlexible remuneration for meals, transport, childcare, and other itemsReferral bonuses of up to β¬6,000 per candidate and β¬5,000 per client23 Working days of vacationFree language courses in English, Spanish, Catalan, and German40-Hour workweek
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