Technical Consultant
Los Angeles, CA

Job Description

Responsibilities Building new pipeline, models and code for on-boarding of a new data source or major change in existing solution. Look at building using reusable components while implementing new requirements Regressing performance testing with QA engineer Routine bug fixes, data queries, job monitoring, fresh data loads, etc. Creating technical documentation Reflect on current state and build right automation solutions Resolving technically advanced problems Keeping up to date with modern data engineering technologies May have to crossover to Projects or Support on need basis Flexible to support after-hours. Your profile 5 years with data ingestion and orchestration in Agile with 3 years in data engineering plus a Masters degree in Computer Science or equivalent professional experience combined with a Bachelors degree Extensive experience with Python 3 wsome 2.7 , node.js and Scala Experience with Apache Spark andor Apache Hadoop AWS cloud experience EC2, S3, Lambda, EMR, RDS, Redshift Proficiency in S3 data lake reference architecture Ability to implement AWS KMS and role-based security Experience with code version-control tools bitbucket, git Good experience with agile development processes like Scrum Insist on building reusable components automating everything Hands on experience with Google BigQuery data warehouse Expertise in working on the command line in a UnixLinux environment Domain experience in mediaentertainment processes Understanding and awareness about information security. Nice to have Experience with AWS Data and Analytics technologies such as Glue, Athena, Spectrum, Data Pipeline Terraform scripting of resources in AWS Salesforce DMP Krux data Familiarity with Ad Sales dataprocesses Data Science operationalizing Experience scaling machine learning pipelines and SparkML specifically

Nearest Major Market: Los Angeles

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