IN-Manager_Azure Data Engineer_Data and Analytics_Advisory_Noida
IN-Manager_Azure Data Engineer_Data and Analytics_Advisory_Noida
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob 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.
Job Description & Summary: A career within. 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.
Job Position Title:
ManagerAzure Data EnginerData & AnalyticsAdvisoryNoida
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 sets:
Spark Pyspark Azure
Preferred skill sets:
Spark Pyspark Azure
Years of experience :
8 12
Education qualification:
/ / MBA / MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration Master of Engineering Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Microsoft AzureOptional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Reasoning Analytical Thinking Application Software Business Data Analytics Business Management Business Technology Business Transformation Coaching and Feedback Communication Creativity Documentation Development Embracing Change Emotional Regulation Empathy Implementation Research Implementation Support Implementing Technology Inclusion Intellectual Curiosity Learning Agility Optimism Performance Assessment 21 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
