Senior Data Engineer

4 settimane fa

Rome, Italia Altro A tempo pieno

Company OverviewWe are a company expert in helping others grow through our technological expertise, solving complex technological challenges, and focusing on operational excellence. We are part of Alkemy, an international company specializing in evolving the business model of large and medium-sized enterprises and a public company listed on the MTA STAR market of Borsa Italiana.ResponsibilitiesThe work focuses on designing and building scalable architectures for Data Lakes and Data Warehouses to centralize and ensure the quality and accessibility of data. It involves implementing and managing ETL processes to extract, transform, and load data from multiple sources, including platforms like Sitetracker, SAP, and Smartmeters. Advanced techniques are applied to transform and enrich data, ensuring alignment with business requirements. The infrastructure is primarily cloud-based, utilizing AWS, Azure, and DataBricks for distributed data processing. Data security measures such as encryption, access controls, and monitoring are implemented to protect sensitive information. Additionally, the role encompasses managing relational and non‑relational databases (e.g., SQL Server, Couchbase, MongoDB) and implementing real‑time data processing technologies like Kafka Streams, Apache Flink, and ksqlDB. Event streaming platforms, such as Kafka and Confluent, are designed to enable real‑time data integration. APIs are developed to facilitate efficient data flow between systems, while microservices architecture using frameworks like Spring Boot ensures scalability. Monitoring systems like Dynatrace and Grafana are set up to track the health and performance of platforms, with error‑handling mechanisms, such as DLQ, ensuring data reliability. Data governance policies are defined to maintain data quality, integrity, and compliance with regulations.RequirementsExperience with ETL tools and techniques.Advanced knowledge in cloud computing, especially AWS, Azure, and DataBricks.Design and modeling of relational and non‑relational databases.Proficiency in programming languages such as Python, Java, and Scala.Experience with Kafka Streams, Apache Flink, and ksqlDB.Knowledge of data governance principles and practices.Familiarity with DevOps tools and CI/CD.Development and integration of APIs.What We OfferIn this company, you can be yourself and work with colleagues equally passionate about technology and innovation, ready to support you at all times. We invest in your professional development with training, tech breakfasts, and attendance at forums. We are advocates of continuous learning, which is why we provide a personal budget for staying up to date with market trends. We care about well‑being and happiness at work, offering flexible working conditions and a balanced work‑life environment. The core values of Excellence, Passion, Integrity, and Concreteness guide us in achieving our mission.Suitable profiles will be contacted within 20 days. Applications without a complete CV attached will not be considered. Candidate data will be processed in accordance with the Privacy Notice, which is always available on our website.#J-18808-Ljbffr

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