IN_Associate_ Data Engineer - Data and Analytics_Advisory_Pan India

Pune - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Associate

Job 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.

Why PWC

At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 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 maintain data pipelines using Azure Data Factory (ADF) for ingestion transformation and integration of data from various energy systems. Implement workflows using Logic Apps and Function Apps to automate data processing and system interactions. Manage and optimize data storage using Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure SQL databases. Integrate real-time and batch data from IoT devices and energy platforms using Event Hub and Service Bus. Collaborate with cross-functional teams to support data needs across power distribution automation and monitoring solutions. Ensure data quality security and compliance with industry standards and regulations. Document data architecture workflows and best practices for operational transparency and scalability.

Mandatory skill sets:

Azure Data Factory Logic Apps Function Apps Azure SQL Event Hub Service Bus and ADLS

Preferred skill sets:

Python SQL and data modeling

Years of experience required:

3 to 10 Years

Education qualification:

Bachelors degree in computer science data science or any other Engineering discipline. Masters degree is a plus.

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

Degrees/Field of Study required: Bachelor Degree Master Degree

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Data Engineering

Optional 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 Specified

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

Required Experience:

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelAssociateJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. The...