Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

*Why PWCAt 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:

Key Responsibilities:
1. Project Management:
o Lead the end-to-end delivery of data projects, including Data Warehouse, Data Lake, and Lakehouse solutions.
o Develop detailed project plans, allocate resources, and monitor project progress to ensure timely and within-budget delivery.
o Identify and mitigate risks, ensuring successful project outcomes.
2. Technical Leadership:
o Provide technical oversight and guidance on best practices in data engineering, cloud architecture, and data management.
o Ensure solutions are scalable, robust, and align with industry standards and client requirements.
o Oversee the design, development, and implementation of data solutions using Azure or AWS and Databricks.
3. Client Engagement:
o Engage with clients to understand their business needs and translate them into technical requirements.
o Build and maintain strong relationships with key client stakeholders.
o Present complex technical concepts and solutions in a clear and concise manner to non- technical stakeholders.

4. Team Leadership:
o Lead and mentor a team of data engineers, fostering a collaborative and high-performance culture.
o Provide guidance and support to team members in their professional development and project delivery.
o Ensure the team is equipped with the necessary tools and resources to succeed.

5. Solution Development:
o Develop and implement data pipelines, ETL processes, and data integration solutions using Azure Data Factory, AWS Glue, Databricks, and
other relevant tools.
o Optimize data storage and retrieval performance, ensuring data quality and
integrity.
o Leverage advanced analytics and machine learning capabilities within Databricks to drive business insights.

6. Continuous Improvement:
o Stay up-to-date with the latest advancements in Azure, AWS, Databricks, and data engineeringtechnologies.
o Implement best practices and continuous improvement initiatives to enhance the efficiency and effectiveness of data engineering processes.
o Foster a culture of innovation and experimentation within the team.

Skills & Competencies:
 Strong problem-solving and analytical skills.
 Deep technical expertise in Azure, Google or AWS and Databricks.
 Exceptional project management and organizational abilities.
 High level of emotional intelligence and client empathy.
 Proficiency in:
o Concepts of Data warehousing and Data Lake (e.g., SCD1, SCD2, Dimensional Modeling, KPIs and Measures, Data Catalog, Star and Snowflake schema, Delta Table and Delta Live Tables)
o Data warehousing solutions (e.g., Azure Synapse, Azure SQL, ADLS Gen2, BLOB Storage for Azure and Redshift, S3, AWS Glue AWS Lambda for AWS, Google data management technologies )
o Data Lake solutions (e.g., MS Fabric, Purview, AWS Lakehouse, BigQuery and BigTable )
o Lakehouse solutions (e.g., Databricks, Unity Catalog, Python and Pyspark)
o Data visualization tools (e.g., Power BI,Tableau) is a plus

Mandatory skill sets:

Project Management, Azure, AWS

Preferred skill sets:

Project Management, Azure, AWS

Years of experience required:

10+ Years

Education qualification:

BE, B.Tech, 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

AWS Devops, Microsoft Azure, Waterfall Model

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 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