Practice Lead - Data Engineering (18-24 yrs)

This typically entails leading and overseeing a team of data engineers, defining the overall data architecture strategy, building scalable data pipelines, ensuring data quality and governance, collaborating with cross-functional teams to drive data- driven decision making, and managing the technical roadmap for data engineering initiatives within an organization; requiring extensive experience in data engineering technologies, strong leadership skills, and a deep understanding of business needs to translate them into technical solutions.

Key Responsibilities :

Strategic Leadership :

- Develop and execute a comprehensive data engineering strategy aligned with business objectives, including data architecture, data pipelines, and data governance policies.

- Define the long-term vision for data infrastructure, identifying opportunities for modernization and innovation.

- Collaborate with senior stakeholders across departments to understand data needs and translate them into actionable data engineering plans.

Team Management :

- Build, lead, and mentor a high-performing team of data engineers, including recruiting, performance management, and career development.

- Foster a culture of collaboration, innovation, and continuous improvement within the data engineering team.

- Establish clear technical standards, best practices, and coding guidelines for data engineering project

Technical Execution :

- Design and implement scalable data pipelines for data ingestion, transformation, and loading (ETL/ELT) across various data sources.

- Architect and manage data warehouses, data lakes, and other data storage solutions on cloud platforms (AWS, Azure, GCP).

- Oversee the development and maintenance of data quality monitoring systems to ensure data accuracy and reliability.