Senior Associate

6 Months ago • 4-8 Years • Data Analyst

Job Summary

Job Description

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.
Must have:
  • Degree in Computer Science or a related discipline
  • Minimum 4 years of relevant experience
  • Fluencyability in Python or shell scripting
  • Experience with data mining, modeling, mapping, and ETL process
  • Experience with Azure Data Factory, Data Lake, Databricks, Synapse analytics, BI Dashboard, and BI implementation projects.
  • Hands-on Experience in Hadoop, PySpark, and SQL Spark.
  • Strong analytical, problem-solving, and communication skills
  • Excellent command of both written and spoken English.
Good to have:
  • Knowledge in Azure / AWS, RESTful Web Service, SOAP,SOA, Microsoft SQL Server, MySQL Server, and Agile methodology
  • Design,Develop, Deliver & maintain Data Infrastructures.

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

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.

Required Skills - Degree in Computer Science or a related discipline Minimum 4 years of relevant experience Fluency
ability in Python or shell scripting Experience with data mining, modeling, mapping, and ETL process Experience
with Azure Data Factory, Data Lake, Databricks, Synapse analytics, BI Dashboard, and BI implementation projects.
Hands-on Experience in Hadoop, PySpark, and SQL Spark. Knowledge in Azure / AWS, RESTful Web Service, SOAP,
SOA, Microsoft SQL Server, MySQL Server, and Agile methodology is an advantage Strong analytical, problem-
solving, and communication skills Excellent command of both written and spoken English. Should be able to Design,
Develop, Deliver & maintain Data Infrastructures.

Mandatory Skill Set-Hadoop, Pyspark
Preferred Skill Set-Hadoop, Pyspark
Year of experience required-4 - 8
Qualifications-B.E / B.Tech

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

Hadoop Cluster, PySpark

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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