Spark Java Developer Jobs Location: Plano, TX
Hi,
Hope you are doing good.
I came across your resume from one of the job portals and I have a position which you might be interested in. If you think you are a good fit for this role,
Job Title: Spark Java Developer
Duration : C2C Role
Location : Plano, TX
NOTE -LOOKING ONLY LOCAL CANDIDATE
Job Description:
Spring boot application, design, and development.
Design pattern of microservices. Best practices DDD, TDD and coding standards.
Unit testing, integration testing and contract testing.
Hands on experience on JAVA 8 features.
Experience on REST and SOAP services.
Experience on CI-CD pipeline.
Experience on Agile methodology and bitbucket.
End to end management for project life cycle.
Good problem solver.
Experience on AWS
Experience on Spark JAVA.
Kafka, bigdata, S3, Cassandra experience is added advantage
Spark query tuning and performance optimization
SQL database integration in any of (Microsoft, Oracle, Postgres, and/or MySQL)
Experience working with any of (HDFS, S3, Cassandra, and/or DynamoDB)
Our client seeks a Sr Java Developer to be responsible for providing ongoing maintenance and support of complex Java applications and developing enhancements to several applications. The resource is integral to developing and maintaining the applications, automated processes, streamlining critical business processes, data integrity, compliance, and securing the applications. The resource also performs as a technical lead and provides technical guidance to the other developers in the department. As a technical lead, the resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.
• 6 to 8 years of IT experience and at least 4+ years in cloud native data engineering solution design/architecture and development.
• Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
• Deep expertise in Performance tuning and optimization of Java/Spark/Scala programs.
• Ability to design and build data engineering tasks using Data bricks framework.
• Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB,
• Should be able to demonstrate expertise in designing and building efficient and scalable data engineering solutions using Massively Parallel Processing (MPP) architecture.
• Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules.
• Data Ingestion to one or more Azure Services – (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.
• Build data pipelines for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
• Experience in writing HQL queries in Hive Data warehouse and performance tuning of HIVE scripts
• Well versed with Relational and Dimensional Modelling techniques like Star, Snowflake Schema, OLTP, OLAP, Normalization, Fact and Dimensional Tables
• Proficient in creating Technical Design Documents (TDD).
• Familiar with DevOps principles and experience in CD/CI implementations using Azure native services.
• Very good customer relationship and stakeholder management skills
• Excellent communication and presentation skills.
Thanks & Regards,
Shivani Garg
Contact: +1 469-325-3271
Email Id: shivani.g@kksoftwareassociates.com
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