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We are looking for a Lead Data Engineer for our client in Atlanta, GA or Alpharetta, GA. Please review the job description and requirements below. Your immediate application will enable us to place you successfully.
Responsibilities:- Hands on experience working with the skills/ technologies like Java, Spring Boot, Microservices , REST , Apache Beam , Google Dataflow, Hadoop, BigTable, Kubernetes, Angular/React, SRE/DevOps
- Minimum of 3 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with 3rd parties - Hive,Spark, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, BigTable, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
- Minimum of 1 year of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native Google Cloud Platform, Java, Python, Scala, SQL etc.
- 15+ years' experience in Information Technology, 5-8+ years in an Enterprise Architecture environment
- Consistent record of driving and leading large-scale enterprise applications
- Experience in reviewing and selecting Technical and Applications Architectures solutions
- Experience with a variety of modern programming languages and web-based development frameworks
- Solid experience working with diverse technology platforms
- Strong experience on BigData and related technologies
- Lead and review architectural solutions with various stakeholders
- Good at gathering & evaluating requirements and understanding existing systems.
- You have a working knowledge of architecture frameworks
- Expertise with different architecture and design patterns and tools
- Web service development, resource-oriented architecture, RESTful web services
- Experience with Big Data and Google Cloud Platform experience (or any public cloud)