IN_Senior Associate_Data engineer _GCC_Advisory_Hyderabad

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
SAP

Management Level
Senior 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 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:

· 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 Customer

· Architecting and overall end-to-end 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 problem-solving skills

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

· Be customer-service oriented

· Be able to work in a fast-paced, changing environment.

· Proficient in spoken and written English

· Willing to travel abroad when required

· Graduate-level 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 on-premises BI Stack (SSIS/SSRS/SSAS) will be useful but is not compulsory

· The role is highly technical and requires a robust understanding and hands-on 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: 6-10 years

Education qualification: Bachelor's degree in Computer Science, Engineering, or a related field.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering

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), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, 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 {+ 27 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