Senior Data Engineer

November 27

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Enable Data

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Analytics • Big Data • Cloud Infrastructure • DevOps • Distributed Computing

51 - 200 employees

☁️ SaaS

⚕️ Healthcare Insurance

🏢 Enterprise

Description

• Enable Data is seeking a highly skilled Senior Data Engineer with expertise in cloud technologies, Spark, and Databricks. • 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 and implement data processing pipelines. • 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. • 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.