IN_Manager_Azure DE Lead_ Data and Analytics_Advisory_Hyderabad

PwC · Hyderabad - Salarpuria

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*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 
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:

  An Azure Data Engineering (DE) Lead designs, builds, and maintains scalable cloud data solutions. They are responsible for architecting ELT/ETL pipelines, mentoring engineering teams, optimizing data storage, and ensuring data governance and security.  

Responsibilities

 

  • Architecture & Design: Design end-to-end cloud data pipelines and data warehouse solutions for disparate data sources. 

  • Team Leadership: Manage, mentor, and train a team of data engineers. Oversee sprint planning and technical delivery. 

  • Pipeline Development: Build robust ETL/ELT processes and data transformations using cloud-native tools. 

  • Optimization & Governance: Ensure data quality, optimal storage, and regulatory compliance, establishing data governance protocols. 

  • Stakeholder Collaboration: Translate complex business requirements into technical roadmaps with business analysts and product teams.  

Essential Technical Skills 

  • Core Azure Stack: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure SQL Database. 

  • Programming Languages: High proficiency in Python, SQL, and PySpark. 

  • Big Data & Processing: Experience with streaming technologies (Apache Kafka, Azure Event Hubs) and data lake storage structures. 

  • CI/CD & DevOps: Familiarity with deploying infrastructure and pipelines using ARM templates, Terraform, or Azure DevOps.  

Typical Qualifications 

  • Experience: 6–10+ years in data engineering or analytics, with demonstrated team leadership or solution architecture experience. 

  • Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a closely related field. 

  • Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Azure Solutions Architect Expert are highly preferred 

 

Mandatory Skill Sets:

Databricks on Azure or GCP BigQuery, Python, SQL, Devops

Preferred Skill Sets:

Gen AI

Years of experience required:

4-7 yrs

Education Qualification:

B.E,B.Tech,M.E,MCA,M.Tech

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}

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

April 14, 2026

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