IN_Senior Associate_Data Engineer Azure_Emerging Businesses_Advisory_Bangalore

Overview

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Emerging Technologies

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).


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:

A career in our Emerging Technologies/Businesses practice, will provide you with a unique opportunity to design and build modern data platforms that power emerging digital businesses. We help clients create scalable, secure and cloud-native data foundations on Azure that enable advanced analytics. Our team focuses on building end-to-end data pipelines and lakehouse architectures leveraging Azure Synapse, Databricks, Azure Data Factory and other Azure data services to help organizations unlock value from their data and accelerate innovation.


Responsibilities: 

Design and build robust ETL/ELT data pipelines for Structured, Semi-structured, Unstructured data on Azure using Data Factory, Synapse Pipelines, and Databricks (PySpark). - Develop and manage data lakes (ADLS Gen2) and data warehouses/lakehouses (Azure Synapse, Delta Lake) to support analytics and AI workloads. - Implement data ingestion frameworks (batch and streaming) from diverse enterprise and external data sources. - Apply data modelling, partitioning and performance optimization best practices for large-scale datasets. - Ensure data quality, lineage and observability using appropriate tools and Azure services. - Implement security, governance and compliance controls (RBAC, Key Vault, encryption, Purview) - Collaborate with AI/ML and GenAI teams to provision curated datasets and features for advanced use cases. - Work with DevOps teams to implement CI/CD, Infrastructure as Code and automated deployments of data assets - Contribute to PoCs and accelerators for new data patterns (real-time analytics, lakehouse, RAG data prep)


Mandatory skill sets: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS Gen2, PySpark, Python, SQL, Data Warehousing, ETL/ELT, Git, CI/CD (Azure DevOps/GitHub), Azure SQL / SQL MI, Azure Security (RBAC, Key Vault, Encryption), Data Modeling

Preferred skill sets: Azure Event Hubs, Kafka, Azure Stream Analytics, Delta Lake/Lakehouse Architecture, Azure Purview, Power BI Integration, Azure Machine Learning / Azure OpenAI Integration, Terraform/Bicep, Cost Optimization on Azure Data Services, Real-time Analytics

Years of experience required 4 to 8 years

Education qualification: B.E/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, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Engineering

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 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