Job Description
Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & 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 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, ****** 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 & Summary: A career within….
Responsibilities:
Minimum 5 years of professional experience with working knowledge in a Data and Analytics role with a Global organization -5 to 8 years of experience in working with Databricks tech stacks -Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption -Develop and optimize ETL processes using Databricks and related tools like Apache Spark -Design efficient data processing systems and pipelines using Databricks, APIs, and other cloud services -Candidate with strong data transformation experience on Unity Catalog, Delta Tables, DLT -Strong proficiency in writing and optimizing SQL queries and working with databases -Ability to acquire specialized domain knowledge required to be more effective in all work activities -BI & Data-warehousing concepts are a must. -Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on Databricks. -Ingest and transform data from multiple structured and unstructured sources including cloud storage (Azure Data Lake, AWS S3, etc.). -Optimize Spark jobs for performance and cost-efficiency on the Databricks platform. -Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions. -Implement best practices in data engineering, including modular coding, unit testing, and version control (e.g., Git).
-Automate data workflows and schedule jobs using Databricks Workflows or external orchestration tools (e.g., Airflow, Azure Data Factory). -Ensure data quality, integrity, and governance in all data pipelines. -Participate in code reviews, performance tuning, and system monitoring. -Document solutions, processes, and configurations.
Mandatory skill sets:
Pyspark, Databricks
Preferred skill sets:
Databricks, Apache Spark
Years of experience required:
7 – 10 yrs
Education qualification:
Btech/MBA/MCA
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
Databricks Platform
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, 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 {+ 29 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
Advisory
Industry/Sector
FS X-Sector
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & 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 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, ****** 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 & Summary: A career within….
Responsibilities:
Minimum 5 years of professional experience with working knowledge in a Data and Analytics role with a Global organization -5 to 8 years of experience in working with Databricks tech stacks -Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption -Develop and optimize ETL processes using Databricks and related tools like Apache Spark -Design efficient data processing systems and pipelines using Databricks, APIs, and other cloud services -Candidate with strong data transformation experience on Unity Catalog, Delta Tables, DLT -Strong proficiency in writing and optimizing SQL queries and working with databases -Ability to acquire specialized domain knowledge required to be more effective in all work activities -BI & Data-warehousing concepts are a must. -Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on Databricks. -Ingest and transform data from multiple structured and unstructured sources including cloud storage (Azure Data Lake, AWS S3, etc.). -Optimize Spark jobs for performance and cost-efficiency on the Databricks platform. -Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions. -Implement best practices in data engineering, including modular coding, unit testing, and version control (e.g., Git).
-Automate data workflows and schedule jobs using Databricks Workflows or external orchestration tools (e.g., Airflow, Azure Data Factory). -Ensure data quality, integrity, and governance in all data pipelines. -Participate in code reviews, performance tuning, and system monitoring. -Document solutions, processes, and configurations.
Mandatory skill sets:
Pyspark, Databricks
Preferred skill sets:
Databricks, Apache Spark
Years of experience required:
7 – 10 yrs
Education qualification:
Btech/MBA/MCA
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
Databricks Platform
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, 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 {+ 29 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
💡 Quick Summary
Seeking a career-building opportunity? The IN_Manager_Databricks _D&A _Advisory _Mumbai position is now open for candidates interested in the Office Assistant Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Office Assistant Jobs is a plus.