Lead Data Engineer

Spark, Hive, Scala, SQL ,Python scripting ,data visualization

**Key Responsibilities:
Leadership and Team Management:**Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous improvement.
Oversee the planning and execution of data projects, ensuring alignment with business objectives and timelines.
Provide technical guidance and expertise to the team, promoting best practices in data engineering.

**Data Architecture and Development:**Design, develop, and maintain scalable data pipelines and ETL processes to ingest, process, and store large volumes of data.
Architect and implement robust data models and schemas to support analytics and business intelligence needs.
Ensure data quality, integrity, and security across all data assets.

**Collaboration and Communication:**Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Collaborate with other engineering teams to integrate data solutions with various applications and systems.

**Technology and Innovation:**Stay up-to-date with emerging technologies and trends in data engineering and big data.
Evaluate and implement new tools and technologies to improve data processing, storage, and analysis capabilities.
Drive innovation and continuous improvement in data engineering practices.