- · Azure Cloud Services
- · Development of Complex Data Ingestion & Transformation Pipelines
- · Spark Programming (Scala, Python, PySpark, SparkSQL)
- · Advanced SQL Programming
- · Azure Data Factory
- · Azure Data Lake Storage
- · Azure Synapse Analytics or Azure Databricks
- · Excellent grasp of data warehousing and ETL/ELT use cases and patterns at scale
- · The ability to apply such methods to solve business problems in combination with building data pipelines, data streams, and system integration.
- · Develop and solidify client relationships through excellent communication, positive attitude, adaptability, and strong work ethic to become the trusted partner of clients.
- · Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
- · Lead and mentor our development teams to deliver a quality data solution.
- · Translate business requirements to technical solutions leveraging strong business acumen.
- · Analyze current business practices, processes, and procedures as well as identify future business opportunities for leveraging cloud services (Microsoft, Amazon, and/or Google).
- · Deliver architectures for transformations and modernizations of enterprise data solutions using cloud data technologies.
- · Design and build modern data pipelines and data streams.
- · Design and build data service APIs.
- · Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and Advanced Analytics.
- · Expose data to end users using Power-BI, Azure API Apps, or any other modern visualization platform or experience.
- · Implement effective metrics and monitoring processes.Other Requirements: · Demonstrated experience of turning business use cases and requirements to technical solutions.
- · Experience in business process mapping of data and analytics solutions.
- · Experience in leading and mentoring development teams.
- · Ability to model business processes using industry best practices.
- · Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- · Google Cloud Experience a plus.EDUCATION:
- Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
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Cloud Engineer - Kansas City, United States - Synergy Global Technologies Inc.
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Description
Job Description
Job DescriptionWe are looking for Cloud Engineer at Kansas City, MO for 1 year contract role.
Role: Cloud Engineer
Location: Kansas City, MO
Duration: 1 year
MUST HAVE SKILLS:
Microsoft Azure, Data Lake Store, Spark, Scala, Python , SQL, azure, data factory, Databricks Power BI, Azure Data warehouse, Data Warehousing, ETL
SKILLS:
· Around 7+ Years of experience working Microsoft Azure data platform and an excellent grasp of the following: