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Position: Senior Data Engineer Location - Los Angeles, CA Duration: Full-Time Salary: $160K180K. Prefer Local L.A or Southern California candidates What You'll Do/Responsibilities Develop and maintain scalable data pipelines, including: ETL pipelines, both single and multi-node solutions Build data quality assurance steps for new and existing pipelines Create derived datasets with augmented properties Work on analytics ready datasets to power internal and creator facing tools Troubleshoot issues when they arise, working directly with internal data consumers Automate pipeline runs with scheduling and orchestration tools Work with large scale datasets Work with/use various external APIs to enhance data Setup database tables for analytics users to consume the data collected by the Data Engineering team Work with big data technologies to improve data availability and data quality in the cloud (AWS) Mentor more junior members of the team Who You Are/Required Qualifications Bachelor's degree, preferably in Computer Science or Computer Information Systems 5+ years of software engineering experience 3+ years of data engineering experience with Apache Spark or Apache Flink 3+ years of experience running software and services in the cloud Proficiency in working with DataFrame APIs (Pandas and Spark) for parallel and single node processing Proficiency using advanced languages and techniques with Python, Scala, etc. with modern data optimized file formats such as Parquet and Avro Proficiency with SQL on RDBMS and data warehouse solutions like Redshift Additional Valued Skills Experience with YouTube APIs Experience with data acquisition from external APIs at large scale / in parallel processing Experience with Data-Lake technologies Experience with AWS Glue metastore Experience with Data-Mesh approaches Experience with data cataloging, data lineage and data governance tools. Piyush Ranjan Manager, Business Development & Service Delivery