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
November 27, 2024
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 Incorporated is seeking a highly skilled Senior Data Engineer with expertise in cloud technologies, Spark, and Databricks. • You will play a crucial role in designing, developing, and maintaining scalable and efficient data solutions in the cloud. • Work closely with cross-functional teams to gather data requirements, design and implement data processing pipelines using Apache Spark and Databricks. • Ensure data quality and integrity, 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.
🎯 Requirements
• Bachelor's or Master's degree in computer science, engineering, or a related field. • 10+ years of experience as a Data Engineer, Software Engineer, or similar role, 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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