Senior AssociateAzure Data Engineer-- Data and AnalyticsAdvisoryGurugram
Senior AssociateAzure Data Engineer-- Data and AnalyticsAdvisoryGurugram
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
*Why PWC
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Job Description: Azure Data Engineer 47 Years Experience)
Position: Azure Data Engineer
Experience: 47 Years
Location: Gurugram
Type: Full Time
Preferred Certifications: Azure Data Engineer Associate Databricks (Not Mandatory)
About the Role:
We are looking for a skilled Azure Data Engineer with 47 years of experience in Azure Data Services including Azure Data Factory (ADF) Synapse Analytics and Databricks. The candidate will play a key role in developing and maintaining data solutions on Azure.
Key Responsibilities:
- Develop and implement data pipelines using Azure Data Factory and Databricks.
- Work with stakeholders to gather requirements and translate them into technical solutions.
- Migrate data from various data sources to Azure Data Lake.
- Optimize data processing workflows for performance and scalability.
- Ensure data quality and integrity throughout the data lifecycle.
- Collaborate with data architects and other team members to design and implement data solutions.
Required Skills:
- Strong experience with Azure Data Services including Azure Data Factory (ADF) Synapse Analytics and Databricks.
- Proficiency in SQL data transformation and ETL processes.
- Handson experience with Azure Data Lake migrations and Python/Pyspark
- Strong problemsolving and analytical skills.
- Excellent communication and teamwork skills.
Preferred Qualifications:
- Azure Data Engineer Associate certification.
- Databricks Certification.
Mandatory skill sets:
Azure ADF SQL
Preferred skill sets:
Azure ADF SQL
Years of experience required:
47 years
Education qualification:
BE/BTECH ME/MTECH 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 Azure Structured Query Language (SQL)Optional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline Data Quality Data Transformation Data Validation 19 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:
Senior IC
Employment Type
Full-Time
