PwC - Manager - Data Engineering in Bangalore, भारत

Role & Responsibilities:- Designing and implementing scalable data infrastructure and systems to support efficient data processing and analysis.- Developing and managing data pipelines, integration, and transformation solutions using Azure Databricks and other data engineering platforms.- Leading teams in the strategic planning and execution of data-driven projects, confirming alignment with client expectations.- Utilizing advanced technologies such as Apache Hadoop and Apache Airflow to enhance data processing capabilities.- Overseeing the deployment and optimization of data warehouses, confirming data quality and security.- Collaborating with business and technology leaders to identify and address data challenges and opportunities.- Mentoring team members to develop their skills and encourage innovation in data engineering practices.- Validating data integrity and compliance within analytics frameworks to support informed decision-making.- Promoting the use of cloud-based analytics platforms like Snowflake and AWS for enhanced insights generation.- Encouraging a culture of continuous learning and development within the team to adapt to evolving data https://jobeax.com/link/hqFuIiSQL97UDvmg You Must Have:- At least a Bachelor's degree.- At least 8+ years of experience.- Oral and written proficiency in English https://jobeax.com/link/V9VT24xylVlCjlCK Sets You Apart:- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.- Demonstrating proficiency in Microsoft Azure Databricks and Snowflake platforms.- Utilizing advanced data engineering techniques for complex data transformations.- Excelling in strategic planning and execution within data modernization projects.- Leading teams in agile environments to deliver data-driven solutions.- Mentoring junior staff to enhance their data engineering capabilities.- Embracing technology and innovation to drive client success. (ref:hirist.tech)