IN_Senior Associate_Azure Data Engineering_Data & Analytics_Advisory_Noida
IN_Senior Associate_Azure Data Engineering_Data & Analytics_Advisory_Noida
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
SAPManagement 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 decision-making 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.
Job Description & Summary: We are looking for a highly skilled Azure Cloud Data Engineer with over 6 years of experience in designing and building scalable data solutions on Microsoft Azure. This role is based in Noida and requires deep expertise in Azure Data Services ETL pipelines and modern data architecture. The ideal candidate will contribute significantly to project delivery collaborate with stakeholders and ensure high standards in data engineering practices.
Responsibilities:
Design develop and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory. Architect and implement cloud-based data solutions integrating structured and unstructured data sources. Build and optimize ETL workflows and ensure seamless data integration across platforms. Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems. Manage Azure-based storage solutions including Azure Data Lake and Blob Storage. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Azure ecosystem. Lead code reviews and ensure adherence to version control practices (e.g. Git). Contribute to the design and deployment of enterprise-level data warehousing solutions. Stay current with Azure technologies and big data trends to apply best practices.
Mandatory skill sets:
Strong SQL skills (Must-Have) Azure Databricks (Must-Have) Azure Data Factory Azure Blob Storage / Azure Data Lake Storage Python Programming (Intermediate Expertise) Apache Spark (hands-on experience) Data modeling (Normalization & Denormalization) Data warehousing and BI tools integration Git (Version Control) Building scalable ETL pipelines
Preferred skill sets (Good to
Have):
Understanding of OLTP and OLAP environments Experience with Kafka and Hadoop Azure Synapse Analytics Azure DevOps for CI/CD integration Agile delivery methodologies
Years of experience
required:
6 years of overall experience in cloud engineering or data engineering roles with at least 3 years of hands-on experience with Azure cloud services.
Education qualification:
BE/ (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering Master of Business Administration Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Python (Programming Language)Optional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 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
