
Data Bricks Devloper
7 days ago
**Data bricks devloper**
***
**Location**: Anywhere in India
**Industry**: Information Technology
**Skill**: Data brick
**Experience**: 5 - 9 years
Databricks DeveloperDatabricks Developer/Designer - 7+ years of overall experience with 2+ year in Azure cloud eco-system
Competent Big Data Engineer, who is independent, results driven and is capable of taking business requirements and building out the technologies to take it to production.
- Big Data Engineer with expert level experience in Azure ADLSGEN2, Databricks -Delta Lake, Azure Data factory, PySpark/Scala-Spark/Hive/Hadoop CLI/MapReduce/ Storm/Kafka/Nifi/Lambda Architecture
- Expert with using the larger Hadoop eco system
- Familiar with job scheduling challenges in Hadoop
- Experienced in creating and submitting Spark jobs
- Experienced with Kafka and real-time analytics
- Experience in high performance tuning and scalability
- Core Java and Python/Spark background and their related libraries and frameworks
- Experienced with Spring Framework and Spring Boot
- Unix/Linux expertise; comfortable with Linu x operating system and Shell Scripting
- PL/SQL, RDBMS background with Oracle/MySQL
- Familiarity with ORMs a plus
- Design, Development, Unit and Integration testing of complex data pipelines and to handle data volumes to derive insights
- Ability to optimize code to be able to run efficiently with stipulated SLA
- Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasksDatabricks Developer/Designer
- Create data ingestion and migration of data to Azure ADLSGEN2, Databricks -Delta Lake using Azure Data factory
- Integrate with Kafka for real-time analytics
- Performance tuning and scaling
- Core Java and Python/Spark background and their related libraries and frameworks
- Experienced with Spring Framework and Spring Boot
- Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting
- PL/SQL, RDBMS background with Oracle/MySQL
- Design, Development, Unit and Integration testing of complex data pipelines and to handle data volumes to derive insights
- Optimize code to be able to run efficiently with stipulated SLA
Problem-solving, focus on quality and timely delivery of assigned tasks
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