Senior Data Engineer

June 20

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

51 - 200

Description

• 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.

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.

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service