Senior Data Engineer - Remote
Avispa Technology
Senior Data Engineer 2853 * Hourly pay: $60-$70/hr * Worksite: Leading music streaming company (Remote, Open to candidates located in the United States, EST or CST zones). * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 hours/week, 6 Month Assignment A leading music streaming company seeks a Senior Data Engineer to design, build, and optimize scalable data platforms and processing pipelines that power analytics and business intelligence. This role collaborates with cross-functional teams to develop high-performance data solutions, integrate data from multiple sources, and support enterprise data initiatives using modern cloud and big data technologies. Senior Data Engineer Responsibilities: * Design, develop, and maintain scalable, high-performance data pipelines, ETL processes, and distributed data processing systems using technologies such as Spark and similar frameworks. * Build and optimize data models, cloud-based data warehouse solutions, and data infrastructure while ensuring data quality, reliability, and performance. * Develop complex SQL queries and data integration solutions to support analytics, reporting, and business intelligence initiatives. * Collaborate with cross-functional teams to integrate data from multiple sources, troubleshoot performance issues, and implement scalable data engineering best practices. * Monitor, optimize, and maintain data platforms while researching emerging technologies and contributing to the continuous improvement of data engineering processes. Senior Data Engineer Qualifications: * 5 years of Data Engineering experience. * Bachelor's degree in Computer Science, Engineering, or a related field. * Strong expertise with Python and Apache Spark. * Strong understanding of distributed systems, data modeling, and ETL processes. * Experience designing and maintaining scalable data pipelines. * Experience with cloud-based data warehouse solutions such as AWS Redshift, Snowflake, or Teradata. * Advanced SQL skills. * Experience with Scala is preferred. * Experience with Databricks is preferred. Shift: * Monday to Friday, 9:00 am to 5:00 pm. #PP
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