IN_Senior Associate_Azure Data Engineer_Data & Analaytics_Advisory_Bangalore

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PwC - Global
Bengaluru
INR 6,00,000 - 12,00,000
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Job description

Line of Service

Advisory
Industry/SectorNot Applicable
SpecialismSAP
Management LevelSenior Associate
Job Description & SummaryAt PwC, our data and analytics engineering team focuses on leveraging advanced technologies to design and develop robust data solutions for clients. They are essential in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. Your responsibilities include developing data pipelines, data integration, and data transformation solutions.

*Why PwC

Join PwC to be part of a vibrant community of problem solvers that lead with trust and create distinctive outcomes for clients and communities. Our purpose-led, values-driven work, powered by technology and innovation, allows you to make a tangible impact. We support your wellbeing with inclusive benefits, flexibility programs, and mentorship, helping you thrive both professionally and personally. Together, we grow, learn, care, collaborate, and create a future of endless possibilities. Learn more about us.

PwC is committed to providing equal employment opportunities, fostering an inclusive environment free from discrimination based on gender, ethnicity, age, disability, marital status, sexual orientation, gender identity or expression, religion, or other legally protected characteristics. We encourage everyone to bring their true selves to work and contribute to our collective growth. We have a zero-tolerance policy for discrimination and harassment.

Job Description & Summary

Providing a career within Data and Analytics services involves helping organizations uncover enterprise insights and drive results through smarter data analytics. We focus on capabilities like business intelligence, data management, and data assurance to foster innovation, growth, and change, helping our clients stay competitive in a rapidly evolving landscape.

Job Position Title:

Senior Associate - Azure Data Engineer - Data & Analytics - Advisory - Bangalore

Responsibilities :

  1. Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to handle large volumes of structured and unstructured data from various sources.
  2. Implement data ingestion, processing, and storage solutions on Azure, utilizing services like Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.
  3. Develop and maintain data models, schemas, and metadata to support efficient data access and analytics.
  4. Monitor pipeline performance, troubleshoot issues, and optimize workflows for scalability, reliability, and cost-efficiency.
  5. Ensure data security and compliance to protect sensitive information and meet regulatory standards.

Minimum Requirements:

  • Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark.
  • Hands-on experience with Azure cloud platform and related services.
  • Strong programming skills in Python and Scala, with knowledge of software development practices including version control and CI/CD.
  • Familiarity with data warehousing, dimensional modeling, and relational databases (SQL Server, PostgreSQL, MySQL).
  • Experience with big data technologies like Hadoop, Hive, HBase is a plus.

Mandatory skills: Spark, PySpark, Azure

Preferred skills: Spark, PySpark, Azure

Experience required: 4-8 years

Education: B.Tech / M.Tech / MBA / MCA

Additional skills: Power BI, SQL

Optional skills: Agile, Scalability, Analytical Thinking, Data Engineering

Visa Sponsorship: Not available

Government Clearance: Not required

Application deadline: [Not specified]

About the company

PricewaterhouseCoopers (PwC) is a multinational professional services network headquartered in London, UK, operating as partnerships under the PwC brand.

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