Role Data Engineer Duration 6-12 Months Location Los Angeles, CA Initially remote Post Covid Onsite Job description LinkedIn is mandate and there should be online coding session on Python and SQL Mandate Skill AWS S3, Redshift, EC2, EMR, Lambda and hands on Python and SQL Mandatory skills AWS, Python and PySpark, Spark SQL, NoSQL Experience on AWS and its web service offering S3, Redshift, EC2, EMR, Lambda, Cloud Watch, RDS, Step functions, Spark streaming etc. Good knowledge of Configuring and working on Multi node clusters and distributed data processing framework Spark. Hands on 3 years of experience with EMR Apache Spark Hadoop technologies Experience with must have Linux, Python and PySpark, Spark SQL. Experience in working with large volumes of data Tera-bytes, analyze the data structures Experience in designing scalable data pipelines, complex event processing, analytics components using big data technology SparkPythonScalaPySpark, Expert in SQL, NoSQL database Experience in process orchestration tools Apache Airflow, Apache NiFi etc. Hands on knowledge of design, development and enhancement of Data Lakes, constantly evolve with emerging tools and technologies Understand American games baseball, football etc. with Media, Data exp. would be an added plus