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Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Data Engineer - Google Cloud ï‚· 5+ years direct experience working in Enterprise Data Warehouse technologies. ï‚· 5+ years in a customer facing role working with enterprise clients. ï‚· Experience with implementing and/or maintaining technical solutions in virtualized environments. ï‚· Experience in design, architecture and implementation of Data warehouses, data pipelines and flows. ï‚· Experience with developing software code in one or more languages such as Java, Python and SQL. ï‚· Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy. ï‚· Customer facing migration experience, including service discovery, assessment, planning, execution, and operations. ï‚· Demonstrated excellent communication, presentation, and problem-solving skills. ï‚· Mandatory Certifications Required Google Cloud Professional Cloud Architect Or Google Cloud Professional Data Engineer + AWS Big Data Specialty Certification Mandatory skill sets-GCP Data Engineering, SQL, Python Preferred Skill Sets-GCP Data Engineering, SQL, Python Year of experience required-4-8 years Qualifications-B.E / B.TECH/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less
