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Sr Cloud Data Engineer in St Louis, MO

Company: UpStream Global Services
Location: Saint Louis
Posted on: September 15, 2020

Job Description:

Sr Cloud Data Engineer We have an immediate opportunity with a large F500 client in the St Louis, MO area. We are looking for Sr Cloud Data Engineer at St Louis, MO with one of our major clients. Please go over the details let me know Sr Cloud Data Engineer - GCP, Java and No SQL St Louis, MO Description Client is looking for creative high-energy diverse and driven Data Engineer with hands-on development skills to work on a variety of meaningful projects to work with one of the leading financial services organization in the US. You are ideal for this position if you are a forward-thinking committed and enthusiastic software engineer who is passionate about technology. The Senior Data Engineer will be responsible for analyzing existing on-prem data bases and storages responsible for the hands on role expanding and optimizing data quality data pipelines and architecture as well as optimizing data flow and collection in the GCP ecosystem. The Data Engineer will support a group of Architects Technical Leads Software Engineers DBA on the data initiatives. The Data Engineer will ensure optimal data quality and delivery is consistent and secure throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams systems and products. The Data Engineer will work with IDH staff and with the Project Manager and other members of the project team to meet data-related objectives. The candidate must possess excellent written and verbal communication skills with the ability to collaborate effectively with domain experts and technical experts in the team. Roles Responsibilities Design and perform data pipeline related implementation and production support tasks such as data migration ETL validation and conversion. Evaluate andor implement changes in production transactional system to support ETL data pipelines as needed. Build or configure infrastructure required for optimal ETL of data into an analytics environment from a variety of data sources using SQL and Cloud data technologies. Monitor and maintain live data ingestion data pipelines and ETL Understand best practices for data separation security and disaster recovery through multiple data centers and Cloud regions. Provide insight into system data quality recommend and implement solutions to resolve data quality issues. Perform basic analysis to transform data into actionable information for use by the stakeholders. Evaluate data analysis and visualization tools and use these tools or assist analysts in developing recurring and ad-hoc reportsdashboards. Build configure or install analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics. Required Skills and Experience Experience with implementation and design of non-relation NoSQL and Graph databases such as Cassandra Neptune or Neo4J. Experience with open source data pipeline and workflow management Experience with design and implementation of open source databases Experience with big data tools such as Hadoop andor Spark Experience with object-orientedobject function scripting languages Python Java Scala etc. Experience with data warehouse or data lake creation Experience with evaluating mainly open source database and data pipeline tools designing data sources custom loading programs andor pipelines Experience building and optimizing ETL data pipelines architectures and data sets an GCPAWS or open source ecosystem Experience in production support transactional data sources and ETL data pipelines Ability to design database tables and schemas to support analytics operations or facilitate ETL Advanced working SQL knowledge and experience working with relational databases query authoring (SQL) as well as working familiarity with a variety of databases. Build processes supporting data transformation data structures metadata dependency and workload management. Demonstrated capabilities using data analysis and visualization tools and methodologies. Experience with data management and cleansing of operational and analytical data stores maintaining data quality. You enjoy mentoring other engineers having a voice in defining our challenging technical culture and helping to build a fast-growing team (depending on level) Report any issues with the client stakeholders and leadership For immediate consideration please contact Chaitanya UpStream Global Services. Reply to www.upstreamgs.comSDL2017

Keywords: UpStream Global Services, St. Louis , Sr Cloud Data Engineer in St Louis, MO, Engineering , Saint Louis, Missouri

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