INSenior AssociateAzure Data EnginerData and AnalyticsAdvisoryPune
INSenior AssociateAzure Data EnginerData and AnalyticsAdvisoryPune
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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.
WhyPWC
AtPwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purposeled and valuesdriven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world. We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences foreach other. Learn moreabout us.
AtPwC 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.
Job 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.
Responsibilities:
- Design develop and optimize data pipelines and ETL processes using PySpark or Scala to extract transform and load large volumes of structured and unstructured data from diverse sources.
- Implement data ingestion processing and storage solutions on Azure cloud platform leveraging services such as Azure Databricks Azure Data Lake Storage and Azure Synapse Analytics.
- Develop and maintain data models schemas and metadata to support efficient data access query performance and analytics requirements.
- Monitor pipeline performance troubleshoot issues and optimize data processing workflows for scalability reliability and costeffectiveness.
- Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance.
Requirement
- Proven experience as a Data Engineer with expertise in building and optimizing data pipelines using PySpark Scala and Apache Spark.
- Handson experience with cloud platforms particularly Azure and proficiency in Azure services such as Azure Databricks Azure Data Lake Storage Azure Synapse Analytics and Azure SQL Database.
- Strong programming skills in Python and Scala with experience in software development version control and CI/CD practices.
- Familiarity with data warehousing concepts dimensional modeling and relational databases (e.g. SQL Server PostgreSQL MySQL).
- Experience with big data technologies and frameworks (e.g. Hadoop Hive HBase) is a plus.
Mandatory skill sets:
Databricks Pyspark Azure
Preferred skill sets:
Databricks Pyspark Azure
Years of experience required:
4 8
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering Bachelor of Engineering Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Microsoft Azure PySparkOptional 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 18 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
