PySpark Team Lead / Analytics Consultant

• Lead the design, development, and deployment of data processing applications using PySpark.

• Act as the primary point of contact for project delivery and coordinate across multiple teams.

• Manage and mentor team members while ensuring successful delivery of analytics and data engineering projects.

• Design and implement scalable data pipelines and transformation workflows using PySpark.

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

• Apply statistical analysis and machine learning techniques to solve business problems.

• Build and optimize data models ensuring high performance, accuracy, and scalability.

• Develop data preprocessing workflows including cleaning, transformation, and normalization.

• Work with data visualization tools such as Power BI or Tableau to present insights effectively.

• Participate in solution design discussions, architecture planning, and technical decision-making.

• Ensure data quality, integrity, and consistency across analytical systems.

• Guide teams in implementing best practices in data engineering and analyt