الصفحة الرئيسية الإمارات العربية المتحدة Data Engineering Lead
الصفحة الرئيسية الإمارات العربية المتحدة Data Engineering Lead
Data Engineering Lead
تفاصيل الوظيفة
About the role:We are seeking a highly skilled and experienced Lead Data Engineer with expertise in architecting and building complex solutions using Big Data Technologies, Graph Databases, Streaming/Batch Data Analytics with strong understanding of multiple cloud platforms to join our talented team. The ideal candidate should have strong leadership skills and a proven track record to solve complex data solutions and design, implementing robust solutions to extract actionable insights from large and complex datasets.RequirementsShould have 8+ years of working experience.Bachelor's or Master's degree in Computer Science, Engineering, or related field.Demonstrated leadership experience leading cross-functional teams in the design and implementation of complex data solutions.Experience in a data engineering role with strong understanding of graph databases, streaming and batch analytics, cloud data platforms, data visualizations, and big data processing.Deep understanding of graph database concepts and technologies (e.g., Neo4j, Amazon Neptune).Proficiency in streaming analytics frameworks such as Apache Kafka, Apache Flink, or AWS Kinesis, Google Pub/Sub.Deep understanding of Data lake solutions and Data warehouse solutions like Google BigQuery, Amazon Redshift, etc.Hands-on experience with cloud platforms and services (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, HBase).Strong programming skills in languages such as Python, Java, or Scala.Strong analytical and problem-solving skills with a strategic mindset and a track record of driving business impact through data-driven solutions.Stay abreast of emerging technologies, industry trends, and best practices in data engineering, and drive innovation through the adoption of new tools and techniques.Outstanding communication and interpersonal skills with the ability to collaborate effectively across teams and departments.
#J-18808-Ljbffr Engineering
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