DescriptionKforce has a client that is seeking a Senior Data Engineer in Fort Lauderdale, FL to join a highly collaborative data and analytics team.Overview:This role is responsible for designing, building, and optimizing scalable data platforms that support enterprise reporting, analytics, and data-driven decision-making. The ideal candidate brings deep expertise in cloud-based data engineering, distributed data processing, and real-time streaming technologies while demonstrating strong leadership and mentoring capabilities.Responsibilities:* Lead and mentor data engineers, promoting best practices in software development, architecture, and deployment* Design, develop, and maintain enterprise data lake and data warehouse solutions* Build scalable data pipelines that process structured and semi-structured data across diverse sources* Develop and optimize cloud-native data solutions using AWS, Azure, or GCP services* Architect and support high-performance distributed data processing frameworks for large-scale workloads* Design and maintain real-time streaming solutions using technologies such as Apache Kafka and Apache Flink* Collaborate with data architects, analysts, and business stakeholders to deliver reliable and scalable data products* Monitor, troubleshoot, and optimize data pipelines, processing frameworks, and cloud infrastructure* Drive continuous improvement initiatives by evaluating and implementing emerging technologies and best practicesRequirements* 7+ years of experience in Data Engineering or a related field* Proven experience leading, mentoring, or guiding data engineering teams* Strong experience building and maintaining enterprise data lakes and data warehouses* Expertise designing and implementing scalable ETL/ELT and data integration solutions* Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform* Experience with cloud storage and compute services, including solutions such as S3, Azure Blob Storage, Databricks, EC2, or Lambda* Advanced experience with Apache Spark and distributed data processing frameworks* Strong knowledge of real-time data processing and streaming technologies, including Kafka and Flink* Proficiency in Python and SQL* Experience developing automated data workflows and large-scale data transformation processes* Strong analytical, troubleshooting, and communication skillsPreferred Qualifications:* Experience developing Delta Lakehouse solutions using Databricks* Expertise optimizing Apache Spark performance through partitioning, caching, tuning, and troubleshooting* Working knowledge of Java* Experience supporting low-latency, high-throughput data environments* Familiarity with modern data architecture patterns and cloud-native platforms* Passion for emerging technologies and continuous innovation in data engineeringJob TypeContractCompensation68 - $92
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