Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Senior Manager
& 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities:
Project Management:

• Lead the end-to-end delivery of data projects, including Data Warehouse, Data Lake, and Lakehouse solutions.
• Develop detailed project plans, allocate resources, and monitor project progress to ensure timely and within-budget delivery.
• Identify and mitigate risks, ensuring successful project outcomes.

Technical Leadership:

• Provide technical oversight and guidance on best practices in data engineering, cloud architecture, and data management.
• Ensure solutions are scalable, robust, and align with industry standards and client requirements.
• Oversee the design, development, and implementation of data solutions using Azure or AWS and Databricks.

Client Engagement:

• Engage with clients to understand their business needs and translate them into technical requirements.
• Build and maintain strong relationships with key client stakeholders.
• Present complex technical concepts and solutions in a clear and concise manner to non-technical stakeholders.

Team Leadership:

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

Solution Development:

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

Continuous Improvement:

• Stay up-to-date with the latest advancements in Azure, AWS, Databricks, and data engineering technologies.
• Implement best practices and continuous improvement initiatives to enhance the efficiency and effectiveness of data engineering processes.
• 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:

• 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)
• 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 )
• Data Lake solutions (e.g., MS Fabric, Purview, AWS Lakehouse, BigQuery and BigTable )
• Lakehouse solutions (e.g., Databricks, Unity Catalog, Python and Pyspark)
• 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 Project Management
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 20 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