Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
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.*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven 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 for each other. Learn more about us.
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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: A career within….
Responsibilities:
Design, develop, and maintain scalable data pipelines using Azure data services such as Azure Data Factory and Apache Spark. Implement efficient Extract, Transform, Load (ETL) processes to move and transform data across various sources. Design, develop, and maintain data solutions using Azure Synapse Analytics. Implement data ingestion, transformation, and extraction processes using Azure Synapse Pipelines. Knowledge about data warehousing concepts Utilize Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other Azure data services to store and retrieve data. Performance optimization and troubleshooting capabilities Advanced SQL knowledge, capable to write optimized queries for faster data workflows. Proven work experience in Spark, Python, SQL, Any RDBMS. Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel
architecture as well as high-scale or distributed RDBMS Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.
Mandatory skill sets:
· Hands-on experience in ADF, or Synapse Analytics · Proficiency in Python for data processing and scripting. · Strong command over SQL – writing complex queries, performance tuning, etc. · Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas). · Understanding CI/CD practices in a data engineering context. · Excellent problem-solving and communication skills
Preferred skill sets:
· Experienced in Delta Lake, Power BI, or Azure DevOps. · Knowledge of Databricks will be a plus · Knowledge of Spark, Scala, or other distributed processing frameworks. · Exposure to BI tools like Power BI, Tableau, or Looker. · Familiarity with data security and compliance in the cloud.
· Experience in leading a development team.
Years of experience required:
4 – 7 yrs
Education qualification:
Btech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft Azure DatabricksOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date