Müller's Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.Key Responsibilities:Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and KafkaCollaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needsEnsure high data quality and integrity by implementing robust data validation and testing processesOptimize data storage solutions for performance and cost-efficiency across cloud and on-premises environmentsMonitor and troubleshoot data processing workflows to ensure timely data deliveryDocument data architectures, processes, and workflows for knowledge sharing and complianceStay ahead of industry trends and best practices in big data technologies and methodologiesRequirementsRequirements:Bachelor's degree in Computer Science, Information Technology, or a related field3+ years of experience as a Big Data Engineer or in a similar data engineering roleProficiency in big data technologies such as Apache Spark, Hadoop, and Apache KafkaStrong coding skills in programming languages like Java, Scala, or PythonFamiliarity with data processing frameworks and ETL toolsExperience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery)Analytical mindset and excellent problem-solving abilitiesStrong communication skills to collaborate effectively with technical and non-technical stakeholdersA self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlinesPreferred Qualifications:Experience with machine learning frameworks and algorithms is a plusKnowledge of data governance and security best practicesFamiliarity with containerization technologies and orchestration tools like Docker and KubernetesBenefits1- Attractive Package.2- Family Benefits.3- Visa.4-Air Tickets.