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WaferWire Cloud Technologies

Azure Data Engineer

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  • 5 days ago
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Job Description

Job Title: Azure Data Engineer

Job Location: Hyderabad, India / Pune, India

Worksite: Onsite [100%]

Shift: UK Shift

About WCT:

WaferWire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).

About Project/Role:

This is an opportunity to showcase your expertise on a global stage. It's a one-of-a-kind unique opportunity to work on cutting edge technologies and industry use cases in partnership with Microsoft. This program is designed to showcase Microsoft's cutting-edge technologies through live hosted industry scenario and product differentiator demos. These demos enable sellers to have a competitive edge by sparking customers imaginations using compelling stories. The demos make it easy for sellers to demonstrate the art of the possible with Data and AI integrated with Apps and Infra, MW, and BizApps.

Come and join us in building these cutting-edge technology industry solutions accelerators.

Responsibilities:

  • Data Pipeline Design and Implementation: Design and implement scalable and efficient data pipelines using Azure Data Factory, Pyspark notebooks, Spark SQL, and Python. This includes data ingestion, data transformation, and data loading processes.
  • Data Modeling and Transformation: Transform data into reusable analytics assets using Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, semantic models, and reports
  • Exploratory Analytics: Leverage languages such as Structured Query Language (SQL), Data Analysis Expressions (DAX), Kusto Query Language (KQL) and PySpark for exploratory analytics.
  • Bring Best Practices: Work closely with other roles, such as solution architects, data engineers, data scientists, AI engineers, and database administrators. Implement analytics best practices within the Fabric platform, including version control and deployment.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum 35 years of experience in designing, implementing, and supporting Data Warehousing and Business Intelligence solutions on Azure Synapse data pipelines.
  • 3-5+ years of experience SQL, Python, DAX, KQL (Kusto), Azure Data Factory
  • Ability to identify and implement industry best practices to improve existing processes; demonstrable achievement within a results-driven, highly ambiguous and dynamic environment.
  • Strong analytical skills and the ability to address complex data challenges.
  • Excellent teamwork and communication skills.
  • Strong soft skills and high Emotional Intelligence

Preferred Qualifications:

DP600/DP700(beta) certification preferred

Equal Employment Opportunity Declaration:

WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

More Info

Industry:Other

Function:technology

Job Type:Permanent Job

Skills Required

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Date Posted: 25/11/2024

Job ID: 101425919

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