IN-Manager_Azure Data Enginer_Advisory Corporate_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Manager

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.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

*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. "

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 cost-effectiveness.
● 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.
● Hands-on 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: Spark, Pyspark, Azure

Preferred skill sets: Spark, Pyspark, Azure

Years of experience required: 8 - 10

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

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

PySpark, Python (Programming Language), Structured Query Language (SQL)

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date