Job Overview

Location
DALLAS, Texas
Job Type
Full Time
Date Posted
7 months ago

Additional Details

Job ID
21931
Job Views
123

Job Description

  • Performs functional and non-functional software requirement analysis of the projects. Apply rapid prototyping and iterative development methodologies as appropriate to ensure solution keeps pace with business needs.
  • Participates in design and implementation of standards, tools and methodologies. Performs “Proof of concept (POC)” of tools and technology and creates “Decision Analysis” reports. Participates in the analysis, evaluation and development of enterprise long term strategic and operating plans to ensure that the Modern Data Architecture objectives are consistent with the enterprise’s long-term business objectives.
  • Develops the deployment strategy of applications for various environments implemented in On Premise, Cloud (Azure / AWS) & Hybrid models. Recommends application architecture using cloud-based IaaS, PaaS & SaaS models.
  • Provides the Data Extraction, Transformation and Loading approaches to support On Premise, Cloud and Hybrid environments using, ETL tools such as Talend and AWS Glue. Designs & develops data Archival, Purging and Retention policies of applications. Participate in near and long-term capacity planning for Analytics. Research and resolve data integrity and performance needs.


  • Bachelor’s Degree in Computer Science (or related field) or equivalent experience, preferred
  • 5+ years Experience building complex Data Warehousing & Business Intelligence solutions
  • 5+ years Experience designing AWS infrastructure, self-healing/redundant components that span multiple availability zones and regions, and related monitoring and alerting
  • 5+ years Strong hands on AWS experience in administration, configuration, design, and platform technical systems engineering in Glue, Python and AWS Services such as S3,Redshift,Kinesis,Athena,Glue,Dynamo DB, Redshift Spectrum, Lambda and Cloud formation
  • 6+ years Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume, Hbase, Solr or similar distributed systems
  • 5+ years Experience in E-R and Dimensional modeling
  • 5+ years Experience creating documentation, data dictionaries, and diagrams that communicate overall architecture and detailed design to varied audiences
  • Extensive experience with AWS Services such as Redshift,Glue,S3,Kinesis,Athena and Redshift Spectrum
  • Hands on ETL tools such as Talend and SSIS
  • Knowledge of prototyping & proof of concept mechanisms
  • SDLC methodologies
  • Read and understand software requirements
  • Write high quality, maintainable code


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