Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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 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.

& Summary:

A career within....

Responsibilities:

Job Accountabilities:


- Ability to Architect end-to-end BI solutions, including data ingestion, storage, and presentation layers.


- Gathering and understanding Business Requirements for Data Visualization and analysis .


- Designing and Developing Power BI reports and Dashboards to meet the business needs.


- Identify Key Performance Indicators, Analyze Historical data for Trend Analysis & better Decision making.


- Strong understanding of Data Modeling and Data Visualization concepts.


- In-depth knowledge of Data Warehouse concepts and Proficiency in SQL.


- Advanced knowledge of DAX calculations and Data Modeling to support Data Analysis.


- Ensure Data Security and compliance by implementing RLS, Dataset promotion, certification etc.


- Collaborating with Data Engineers and Analysts to acquire , clean, and transform data for Reporting purposes.


- Knowledge of Data Integration techniques and experience with Data Pipeline Orchestration and Automation.


- Expertise in Performance Tuning and Optimization of Power BI reports and SQL queries.


- Administer Power BI platform, configure & implement On-Premise Gateways, lead capacity planning.


- Optimize Workspaces and Datasets to promote ease of self-service.


- Familiarity with Advanced Analytics and ML concepts for enhanced data insights.


- Troubleshooting and resolving issues in Power BI reports

Mandatory skill sets:

Power BI, DAX, SQL

Preferred skill sets:

Power BI, DAX, SQL

Years of experience

required

3-7 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: MBA (Master of Business Administration), Bachelor of Technology
Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Power BI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 more}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date