Senior Associate
Senior Associate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
SAPManagement Level
Senior AssociateJob 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.
Responsibilities:
Design develop and optimize data pipelines and ETL processes using PySpark or
Scala to extract transform and load large volumes of structured and unstructured data
from diverse sources.
Implement data ingestion processing and storage solutions on Azure cloud platform
leveraging services such as Azure Databricks Azure Data Lake Storage and Azure
Synapse Analytics.
Develop and maintain data models schemas and metadata to support efficient data
access query performance and analytics requirements.
Monitor pipeline performance troubleshoot issues and optimize data processing
workflows for scalability reliability and costeffectiveness.
Implement data security and compliance measures to protect sensitive information and
ensure regulatory compliance.
Requirement
Proven experience as a Data Engineer with expertise in building and optimizing data
pipelines using PySpark Scala and Apache Spark.
Handson experience with cloud platforms particularly Azure and proficiency in Azure
services such as Azure Databricks Azure Data Lake Storage Azure Synapse Analytics
and Azure SQL Database.
Strong programming skills in Python and Scala with experience in software
development version control and CI/CD practices.
Familiarity with data warehousing concepts dimensional modeling and relational
databases (e.g. SQL Server PostgreSQL MySQL).
Experience with big data technologies and frameworks (e.g. Hadoop Hive HBase) is a
plus.
Mandatory skill setsPyspark Azure
Year of experience required4 8
Qualifications B.E / B.Tech/ MBA
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
Microsoft Azure PySparkOptional Skills
Desired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
