Enable Data
Enable Data is a company that offers modern IT solutions to empower its customers by leveraging innovative data analytics and cloud platforms to drive increased value across their business ecosystem. They specialize in the implementation of large-scale SAS applications, distributed rules engines for processing health-related data, and managing data ingest frameworks. Enable Data serves industries requiring advanced data analytics and IT solutions, with a particular focus on healthcare quality and big data management.
Analytics • Big Data • Cloud Infrastructure • DevOps • Distributed Computing
Senior Data Engineer
February 15
Enable Data
Enable Data is a company that offers modern IT solutions to empower its customers by leveraging innovative data analytics and cloud platforms to drive increased value across their business ecosystem. They specialize in the implementation of large-scale SAS applications, distributed rules engines for processing health-related data, and managing data ingest frameworks. Enable Data serves industries requiring advanced data analytics and IT solutions, with a particular focus on healthcare quality and big data management.
Analytics • Big Data • Cloud Infrastructure • DevOps • Distributed Computing
📋 Description
• Enable Data is seeking a highly skilled Senior Data Engineer with expertise in cloud technologies, Spark, and Databricks to join our dynamic team. • As a leading provider of advanced application, data, and cloud engineering services, we leverage modern solutions to drive increased value across our clients' business ecosystem. • As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining scalable and efficient data solutions in the cloud. • You will work closely with cross-functional teams to gather data requirements, design and implement data processing pipelines using Apache Spark and Databricks, and ensure data quality and integrity. • Additionally, you will collaborate with clients to optimize their data infrastructure and provide insights using advanced analytics. • This is an excellent opportunity for a talented Data Engineer with strong cloud engineering skills and a deep understanding of Spark and Databricks. • If you are passionate about leveraging cutting-edge technologies to solve complex data challenges and have a track record of delivering high-quality solutions, we would love to hear from you. • Responsibilities include designing, developing, and maintaining scalable and robust data solutions, gathering and analyzing data requirements, building and optimizing data pipelines, ensuring data quality, collaborating with teams and providing technical guidance.
🎯 Requirements
• Bachelor's or Master's degree in computer science, engineering, or a related field. • 8+ years of experience as a Data Engineer, with a focus on building cloud-based data solutions. • Strong experience with cloud platforms such as Azure or AWS. • Proficiency in Apache Spark and Databricks for large-scale data processing and analytics. • Experience in designing and implementing data processing pipelines using Spark and Databricks. • Strong knowledge of SQL and experience with relational and NoSQL databases. • Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services. • Good understanding of data modeling and schema design principles. • Experience with data governance and compliance frameworks. • Excellent problem-solving and troubleshooting skills. • Strong communication and collaboration skills to work effectively in a cross-functional team. • Relevant certifications in cloud platforms, Spark, or Databricks are a plus.
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