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IN_Senior Associate_AzureData Engineer

IN_Senior Associate_AzureData Engineer

PwC Service Delivery Center

2 - 5 years

9 - 14 Lacs

Bengaluru

Posted:Just now| Platform:

Apply

Skills Required

SAP Architecture Analytical Data processing OLAP Corporate advisory Customer service microsoft Analytics SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

SAP

Management Level

Senior Associate

& 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 decisionmaking 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 for our clients and communities. This purposeled and valuesdriven 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 .

Responsibilities

Create Service Offerings

Create Customer Presentation (Pitch Deck based on Service Offerings)

Help in winning the new deals and to manage the same

Help in taking the offerings to market along with the Sales team

Help in account mining /farming to grow the customer accounts

Ensure the services are delivered as per contractual agreement with the Custome

Architecting and overall endtoend design, deployment, and delivery of Azure Data Platforms, across Data Lakes, Data Warehouses, Data Lake houses, pipelines, Databricks, BI and Data

Analytics solutions

Remaining up to date in new and emerging technologies

Working with clients to develop data technology strategy and roadmaps, and plan delivery

Oversight and support of delivery team outputs

Data modelling, design, and build

Infrastructure as Code delivery

Enforcing technical architecture and documentation standards, policies, and procedures

Analysing, implementing, and resolving issues with existing Azure Data Platforms

Working with business experts and customers to understand business needs, and translate business requirements into reporting and data analytics functionality

Assisting in scoping, estimation, and task planning for assigned projects

Following the project work plans to meet functionality requirements, project objectives and timelines

Providing accurate and complete technical architectural documents

Addressing customer queries and issues in a timely manner

Providing mentoring and hands on guidance to other team members

Experience in designing and implementing Azure Data solutions using services such as

o Azure Synapse Analytics

o Azure Databricks

o Azure Data Lake Storage Gen2

o Azure SQL Database

o Azure Data Factory

o Azure DevOps

o Azure Stream Analytics

o Azure Blob storage

o Azure Cosmos DB

o ARM templates

Familiar with Microsoft Power BI

Familiar with Azure Purview

An understanding of Master Data Management and Data Governance frameworks

Familiar with Infrastructure as Code approaches and implementations

Familiar with development approaches such as CI/CD

Familiar with Azure DevOps

Strong communication and collaboration skills

Strong analytical thinking and problemsolving skills

Ability to work as a team member and leader in a diverse technical environment

Be customerservice oriented

Be able to work in a fastpaced, changing environment.

Proficient in spoken and written English

Willing to travel abroad when required

Graduatelevel education in Computer Science or a relevant field, or a widely recognised professional qualification at a comparable level

Formal training and/or certification on related technologies is highly valued

Minimum of three years working in a similar role

Knowledge of Common Data Models/Industry Data Models/Synapse Analytics Database templates will be considered an asset

Experience in OLAP technology and the Microsoft onpremises BI Stack (SSIS/SSRS/SSAS) will be useful but is not compulsory

The role is highly technical and requires a robust understanding and handson expertise of Microsoft

Azure cloud technologies, data architecture and modelling concepts.

The role also demands strong analytical, problem solving, and planning skills.

The role requires strong communication and collaboration skills and the motivation to achieve results in a dynamic business environment.

Required Technical Skill set SQL, Azure Data Factory+ Azure Data Lake + Azure SQL+ Azure Synapse+

Mandatory skill sets

Data factory, Databricks, SQL DB, Python, ADLS, PySpark

Preferred skill sets

PBI, Power APP stack, Data Modelling , AWS lambda, Glue, GMR, Airflow, Kinesis, Redshift

Years of experience required

610

Education qualification

Bachelors degree in Computer Science, Engineering, or a related field.

Education

Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred

Required Skills

Azure Data Factory

DevOps

Travel Requirements

Government Clearance Required?

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