(Zn811) | Data Engineer | Pharma - Hybrid

We are looking for a Data Warehouse Engineer, who will offer services to one of our clients, a multinational pharmaceutical company.MISSION:Design, construct, install, test and maintain highly scalable data management systems on AWS.Build and manage data pipelines to support continuous data ingestion, processing, and analytics.Collaborate with IT team and business to determine functional and non-functional requirements for pipelines.Recommend ways to improve data reliability, efficiency, and quality.SKILLS & EXPERIENCE:Proven experience as Data Engineer working with real-time data.Strong experience with stream-processing systems.Proven experience with continuous data processing and streaming frameworks like Kafka, Kinesis.Experience with data pipeline and workflow management tools like Airflow.Knowledge of programming languages like Python, Java, Scala, etc.Strong knowledge of AWS data services such as Snowflake, RDS, DynamoDB, Lambda, Kinesis, Glue, Athena, etc.Experience with AWS data lake and data warehousing solutions.Strong understanding of algorithms and data structures.Experience working with agile methodology, overall, scrum.Experience working with cross-functional teams.Fluent in English.Other valuable skills (plus):Having worked in a pharmaceutical environment.Understanding of software quality assurance principles.SCHEDULE:08/09h-17/18h from Monday to Friday (flexible).4 days remote, 1 day on-site.CONDITIONS:Salary package based on your profile.Permanent Contract.Ticket restaurant included in-office hours.Flexible Retribution Program (medical insurance, public transport ticket, and childcare check).Discounts on gym network (Andjoy).Learning & Development.Our goal is that you are well in every way!#J-18808-Ljbffr