Enable Data Incorporated 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
Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights.
Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
Provide technical guidance and expertise to junior data engineers and developers.
Stay up-to-date with emerging trends and technologies in cloud computing, big data, and data engineering.
Contribute to the continuous improvement of data engineering processes, tools, and best practices.
Bachelors or Masters 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.