BIG DATA -- Technical Lead

Zoek Pin Bengaluru, Karnataka

Competitive

Permanent (Full time)

Recently Posted

Job Description TECHNOLOGIES EXPERIENCE MUST HAVE AT LEAST 10 YEARS OF EXPERIENCE IN IT INDUSTRY WITH A MINIMUM OF 4 YEARS OF EXPERIENCE ON SCALA SPARK HADOOP AND NOSQL DATABASE HBASE PROFICIENCY WITH SPARK. SCALA SHOULD HAVE WORKED ON SPARK DEVELOPMENT WITH SCALA JAVA STRONG EXPERIENCE USING SPARK SQL SPARK TRANSFORMATIONS ACTIONS EXPERIENCE IN PERFORMANCE OPTIMIZATION OF APPLICATIONS DEVELOPED USING SPARK SCALA MUST HAVE STRONG DEBUGGING SKILLS IN ANALYZING THE BIG DATA APPLICATI ON ISSUES HAVE EXPERIENCE ON AZURE DATAFACTORY AND DATABRICKS MUST HAVE LED THE TEAM OF MORE THAN 5 MEMBERS STRONG DESIGN AND ARCHITECTURE EXPERIENCE SOLID DESIGN AND CODING EXPERIENCE WITH SCALA CASE CLASSES OBJECTS COLLECTIONS FUNCTIO NS AND EXCEPTION HANDLING GOOD KNOWLEDGE ON STRINGS ARRAYS AND TRAITS EXPERIENCE WORKING IN BIG DATA TOOLS LIKE HUE OOZIE FLUME ETC DESIGN AND DEVELOP BIG DATA BASED SOLUTIONS USING CLOUDERA DISTRIBUTION TO IMPLEMENT FEATURES BASED ON PROJECT REQUIREMENTS INVOLVING BIG DATA FRAMEWORK MAINTAIN AND REFACTOR EXISTING BIG DATA APPLICATIONS HANDS ON UML OR USE CASE MODELING ANALYSIS AND DESIGN ACTIVITIES PREPARE TECHNICAL DOCUMENTS E G HIGH LEVEL DESIGN LOW LEVEL DESIGN DEPLOYMENT GUIDE RELEASE NOTES ETC DEVELOP DETAILED DESIGN SPECIFICATIONS PERFORM CODE REVIEW AND DESIGN REVIEW TO ENSURE COMPLIANCE WITH DEVELOPMENT STANDARDS UNDERSTAND CLIENT S BUSINESS NEEDS DEVELOP A SOFTWARE SOLUTION WITH NECESS ARY VALIDATIONS PROVIDE ASSISTANCE GUIDANCE AND SUPPORT TO OTHER DEVELOPERS WHEN NECESSARY IMPROVE THE TECHNICAL COMPETENCE OF THE TEAM THROUGH TRAINING DEVELOPMENT OF EXISTING AND NEW TEAM MEMBERS EXPERIENCE WRITING WELL DESIGNED TEST ABLE AND EFFICIENT CODE USING MOCKITO OR ANY OTHER TESTING FRAMEWORK USING SCALA MODULE INTEGRATION TESTS WHITE BOX TESTING BUG FIXING EXPERIENCE WORKING WITH RELEASE TOOLS SUCH AS JENKINS MAVEN GIT AND ARTIFACT REPOSITORIES ARTIFACTORY. Job Requirements: Azure Databricks, Scala, Spark, Build and Deployment, CI CD methodologies, Data Ingestion Design

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