[xrecnet] Sr Hadoop Developer - Solution Architect ( NiFi, Spark, Kafka, and Kudu ) - Remote

 

Hi

 

This is Aravind, - Recruitment Team from MSR Cosmos

We have an urgent requirement as follows:

Please respond with resumes in MS-Word Format with the following details to aravind@msrcosmos.com

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Requirement Details

 

Number of resources & roles	Solution Architect
Duration (number of days/hours required)	60 Days
Expected Start date	Immediate
Timezone	EST
Onsite or Remote? If onsite, state location	Remote
Skillsets/Platform experience required	NiFi, Spark, Kafka, and Kudu
Project/scope description	Need 3 SAs. Individuals should have strong skills in NiFi, Spark, Kafka, and Kudu 1.0 Create a JMS to Kafka Custom Data flow connector using Spark/Scala · Development · Unit testing 2.0 Nifi to Spark: BOS CAD Use Case · Refactor Avro Schema Registry · Assist with Kafka topics, migration from HDF to CDP and pushing data to Kafka topics · Complete Nifi to Spark conversion tasks, including: o Use JMS to Kafka connector to publish the data to Kafka o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish the parsed & processed data to Kafka o Consume from Kafka & write to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 3.0 Nifi to Spark: BOS LOCO & File Transfer Use Case · Refactor Avro Schema Registry · Assist with Kafka topics, migration from HDF to CDP and pushing data to Kafka topics · Complete Nifi to Spark conversion tasks, including: o Use JMS to Kafka connector to publish the data to Kafka o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish the parsed & processed data to Kafka o Consume from Kafka & write to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 4.0 Nifi to Spark: UTCS Use Case · Complete Nifi to Spark conversion tasks, including: o Pull Data from Oracle DB for following sub-categories [total 132 tables] ■ Blast & Reload ■ Append Only ■ Merge o Parsing, processing, transformations o Publish the data to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts o Capture Audit information ■ Capture start and end timestamp for each table processing. ■ Capture the counts for each table ■ Use the existing audit tables for storing audit data [refactor to simplify the design] · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 5.0 Nifi to Spark: ITCM Use Case · Refactor Avro Schema Registry · Assist with Kafka topics, migration from HDF to CDP and pushing data to Kafka topics · Complete Nifi to Spark conversion tasks, including: o Ingest the logs data from NFS mount(s) and publish to Kafka o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Write the data to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts o Capture Audit Information ■ Capture timestamp (start/end) for each table ■ Capture counts for each table ■ Refactor existing audit tables for audit data storage · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 6.0 Nifi to Spark: ITCSM Use Case · Refactor Avro Schema Registry · Assist with Kafka topics, migration from HDF to CDP and pushing data to Kafka topics · Complete Nifi to Spark conversion tasks, including: o Use JMS to Kafka connector to publish the data to Kafka o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish the parsed & processed data to Kafka [Staging copy] o Consume from Kafka[Staging copy] & write to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 7.0 Nifi to Spark: PTC Trip Session · Refactor Avro Schema Registry · Complete Nifi to Spark conversion tasks, including: o Consume from Kafka[Staging copy] o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish data to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 8.0 Nifi to Spark: PTC District Session · Refactor Avro Schema Registry · Complete Nifi to Spark conversion tasks, including: o Consume from Kafka[Staging copy] o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish data to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 9.0 Nifi to Spark: PTC Locomotive Position · Refactor Avro Schema Registry · Complete Nifi to Spark conversion tasks, including: o Consume from Kafka[Staging copy] o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish data to Kudu o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 10.0 Nifi to Spark: Cassandra · Refactor Avro Schema Registry · Complete Nifi to Spark conversion tasks, including: o Consume from Kafka o Schema registry integration o Schema parsing & validation o Parsing, processing, transformations o Publish data to Cassandra o Exactly-Once processing o Exception handling o Wrapper Script/Metadata Files o Auto restarts · Complete User Testing and Resolution Activities (Data and Functional) · Complete all deployment and migration activities, including HDF to CDP Migration tasks · Create and finalize Documentation (including Mapping Documents and Test Artifacts) · Provide Knowledge Transfer 11.0 Performance Metrics and Monitoring Jobs · Metrics: · Record count audit o Move to a shell script from current NiFI flow which approximates Kafka vs. Hive counts · Latency audit o Add audit columns to Header & select child to Ten (10) Kudu tables o Add Kafka to Kudu tables o Fetch differential · Cassandra Tables o Add Kafka to Three (3) Cassandra Tables o Fetch the differential to identify Kafka to Cassandra latency · Latency Query o Create query to capture latency ■ Parameterized to accept DB & Tables ■ Exclude Cassandra Tables · Query performance o Refactor to adjust to Impala & Kudu. Remain as a shell ■ Parameterized to accept DB & Tables · Monitoring · Kafka alerts o Producer Activity ■ Milliseconds lapsed since producer was active o Consumer Activity ■ Milliseconds lapsed since producer was active o Consumer Group Latency ■ Application dependent o End to End Latency · Topic Partition Bytes Alert configuration o Alert-1: Value = 0, creates alert when the topic partition becomes idle o Alert-2: Value > max_bytes_in_expected, creates an alert when the topic partition input load is higher than usual

 

 

Stay Safe

 

Thanks & Regards, 

Aravind
MSR COSMOS

6200 Stoneridge Mall Rd, Ste 300, Pleasanton, CA - 94588

Desk : 925 399 7145

Textnow : 732 574 5974

Fax : 925-219-0934

Email : aravind@msrcosmos.com   
URL: http://www.msrcosmos.com

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