| DATA ARCHITECT :: LOCATION :: WASHINGTON ,DC at Washington, DC, USA |
| Email: [email protected] |
| Title : Data Architect Location : Washington ,DC (hybrid) Duration : Contract Experience : 10+ years Job description : Must have skills MS SSIS stack AWS Aurora Data Migrating from on Prem to Cloud ETL tool exp Experience on open-source tools like Kafka, Spark, Splunk Expert in SQL/Query handling Extensive knowledge on the AWS Platform and has an AWS Certification Responsibilities : Collaborate with stakeholders to develop a data strategy that meets corporate needs and industry requirements. Create an inventory of the data necessary to build and implement a data architecture. Envision data pipelines and how data will flow through the enterprise. Maintain a repository of all data architecture, procedures and artifacts Evaluate current data management technologies and what additional tools are needed. Determine upgrades and improvements to current data architectures. Design, document, build and implement database architectures and applications. Build data models for database structures, analytics and AI applications. Develop and enforce database development standards. Integrate new systems and functions like security, performance, scalability, reliability and data recovery. Research new opportunities and create methods to acquire data. Develop measures that ensure data accuracy, integrity and accessibility. Continually monitor, refine and report data management system performance. Skills : Graduate or post graduate in Computer science/Electronics/Software engineering. 10+ years of relevant experience in Data Architectures and solutioning. Extensive knowledge on the AWS Platform and has an AWS Certification. Working on SnowFlake and pipeline tools like Fivetran or Matillion Well-versed with the Data services, integration, ingestion, ELT/ETL, Data Governance, Security and Meta-driven Development Experience on services like Glue, Athena, Lambda, Sage maker, Quick Sight, CloudWatch, API Gateway, RDS, RedShift, DynamoDB, Kinesis DataStreams etc. Experience on open-source tools like Kafka, Spark, Splunk, Superset etc. Expert in SQL/Query handling Knowledge on various services and technologies on the Data Landscape Clear understanding of best-practices prevailing in the industry on data solutions Good understanding of Analytics Platform Landscape that includes AI/ML Models. Experience on a Data Visualization tool like Power BI / Tableau / Qlik /Quick Sight etc. Awareness of other Cloud and Data Platforms Great communication and presentation skills Thanks and Regards, Nisha Dayal Direct : 805-222-0532 EXT : 238 Email ID : [email protected] -- Keywords: artificial intelligence machine learning business intelligence information technology microsoft Idaho |
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| Tue Sep 26 21:52:00 UTC 2023 |