Data Engineering Lead

Job Description

As a Data Engineering Lead, you will be responsible for overseeing and guiding the data engineering team in developing, optimizing , and maintaining our data infrastructure. You will play a critical role in ensuring the seamless integration and flow of data across the organization, enabling data-driven decision-making and analytics. Key Responsibilities Data Integration: Coordinate with various teams to ensure seamless data integration across the organizations systems. ETL Processes: Develop and implement efficient data transformation and ETL (Extract, Transform, Load) processes. Performance Optimization: Optimize data flow and system performance for enhanced functionality and efficiency. Data Security: Ensure adherence to data security protocols and compliance standards to protect sensitive information. Infrastructure Management: Oversee the development and maintenance of the data infrastructure, ensuring scalability and reliability. Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven initiatives. Innovation: Stay updated with the latest trends and technologies in data engineering and implement best practices. Qualifications Experience: Proven experience in data engineering, with a strong background in leading and managing teams. Technical Skills: Proficiency in programming languages such as Python, Java, and SQL, along with experience in big data technologies like Hadoop, Spark, and Kafka. Data Management: In-depth understanding of data warehousing, data modeling, and database management systems. Analytical Skills: Strong analytical and problem-solving skills with the ability to handle complex data challenges. Communication: Excellent communication and interpersonal skills, capable of working effectively with cross-functional teams. Education: Bachelors or Masters degree in Computer Science , Engineering, or a related field. Why Join Us Work on cutting-edge data projects and contribute to the organizations data strategy. Collaborative and innovative work environment that values creativity and continuous learning.