Dear Friends, Greetings of the day!!!
Please share suitable profiles at the earliest: JD as follows: Position1 *Role: Kafka Admin* *Remote* *Kafka Admin with Linux experience* · 5+ years of solid Kafka Admin experience · Design, build, assemble, and configure application or technical architecture components using business requirements. · Hands-on experience with Kafka clusters hosted on Amazon cloud is a plus. · Experience in Kafka build pipelines using Ansible, Cloud formation templates, shells etc. · Experience in Jenkins, GitHub · Experience in implementing security & authorization (permission based) on Kafka cluster. · Experience in open source Kafka, zookeepers, Kafka connect, schema registry Avro schemas. · High availability cluster setup, maintenance and ongoing support · Has good knowledge of best practices · Hands on experience in standing up and administrating Kafka platform which includes creating a backup & mirroring of Kafka Cluster brokers, broker sizing, topic sizing, h/w sizing, performance monitoring, broker security, topic security, consumer/producer access management(ACL) · Knowledge of Kafka API (development experience is a plus) · Knowledge of best practices related to security, performance, and disaster recovery. Position2 *Role: SR. Data Engineer* *Location: Deerfield, Illinois* Looking for Data Engineers with Databricks experience: who have experience in Databricks. Should be capable of programming in Python, Pyspark, Scala and Spark SQL. *Requirements :* · Capability or programming in one of the following languages. o Python/Pyspark o Scala o Spark SQL · Deep understanding of distributed computing and Spark Architecture · Experience with Delta Lake/Tables within Databricks · Experience with optimizing Spark Queries and analyzing Spark DAGs · Understanding of both Batch and Streaming Jobs in Spark · Familiarity with different file types such as CSV, Parquet, JSON, etc. · Experience with other Azure data services such as Azure Data Lake Gen2, Event Hubs, Synapse etc. · Deep understanding of Azure data storage technologies such as Azure Blob Storage, Azure Data Lake Gen2, Synapse, Azure SQL, Azure Event Hub and the frameworks applied to each. · Understanding of ETL/ELT practices including data cleansing, validation, and transformation activities. · Data modelling experience shaping and transforming data into third normal form and dimensional models. -- Thanks & Regards, *Srikanth | *Technical Recruiter HCL Global Systems, Inc. Email ID: [email protected] Certified Minority Business Enterprise (MBE) -- You received this message because you are subscribed to the Google Groups "Android Developers" 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/android-developers/CAED9fV4APDVjQDrOwjkuuT82r%3DnDNLEUTAquNCYfKzbk55aYnQ%40mail.gmail.com.
