IN-AssociateAzure data EngineerData AnalyticsAdvisoryPAN India
IN-AssociateAzure data EngineerData AnalyticsAdvisoryPAN India
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
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:
Job Description :
Analyses current business practices processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion data processing data integration data modeling database design & implementation data visualization and advanced analytics. Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications. Develop best practices including reusable code libraries patterns and consumable frameworks for cloudbased data warehousing and ETL. Maintain best practice standards for the development or cloudbased data warehouse solutioning including naming standards. Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks. Integrating the endtoend data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained Working with other members of the project team to support delivery of additional project components (API interfaces) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Integrate Databricks with other technologies (Ingestion tools Visualization tools). Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts strategies methodologies. Integrating the endtoend data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained Working with other members of the project team to support delivery of additional project components (API interfaces) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Integrate Databricks with other technologies (Ingestion tools Visualization tools). Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts strategies methodologie
Mandatory skill sets:
ADE ADB ADF
Preferred skill sets:
ADE ADB ADF
Years of experience required:
310 Years
Education qualification:
BE B.Tech MCA M.Tech
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Databricks Platform Extract Transform Load (ETL) PySpark Python (Programming Language) Structured Query Language (SQL)Optional Skills
Desired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Employment Type
Full-Time
