Hello Partner,
Please check the position below and reply back with your updated resume.Title: Data EngineerLocation: Bellevue,WA - Design and develop the data platform to efficiently and cost effectively address various data needs across the business - Build software across entire cutting-edge data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with awesome cutting-edge technologies. - Performing exploratory and quantitative analytics, data mining, and discovery. - Make data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. - Implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. - Working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically - Help build and maintain foundational data products such as but not limited to Various conformed datasets, Consumer 360, data marts etc. - Ensure data quality by implementing re-usable data quality frameworks. - Build process and tools to maintain Machine Learning pipelines in production. - Develop and enforce data engineering, security, data quality standards through automation. Essential requirements - Bachelor’s degree in computer science or Similar discipline. - 5+ years of experience in software engineering - 2+ years of experience in data engineering. - Ability to work in fast paced, high pressure, agile environment. - Expertise in at least few programming languages - Java, Scala, Python or similar. - Expertise in building and managing large volume data processing (both streaming and batch) platform is a must. - Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar - Expertise in building micro services and managing containerized deployments, preferably using Kubernetes - Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar. - Expertise in SQL, Spark SQL, Hive etc. - Expertise in OLAP databases such as Snowflake or Redshift. - No-SQL (Apache Cassandra, DynamoDB or similar) is a huge plus - Experience in operationalizing and scaling machine models is a huge plus. - Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus. - Experience with Analytics Tools such as Looker, Tableau is preferred. - Cloud (AWS) experience is preferred - Ability to learn and teach new languages and frameworks. - Excellent data analytical skills - Direct to consumer digital business experience preferred - Digital Advertising Tech experience will be a huge plus Regards ARUN | Sr. Technical Recruiter KLNtek DESK:626-414-4522,MOBILE:626-346-9382 [email protected] -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . Please read http://groups.google.com/group/rtc-linux/web/checklist before submitting a driver. --- You received this message because you are subscribed to the Google Groups "rtc-linux" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/rtc-linux/261753921.631499.1612798569094%40mail.yahoo.com.
