Senior Associate_Azure Data Engineer - Data and Analytics

Not Applicable Specialism Data, Analytics AI Management Level Senior Associate Summary 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 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 Degrees/Field of Study required

• Master of Business Administration
• Bachelor of Engineering
• Master of Engineering

Required Skills

• Microsoft Azure
• Structured Query Language (SQL)
• 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 more} No