Lead Data Engineer

• The Lead Data Engineer is responsible for designing, developing, and managing scalable data integration frameworks and data platforms.
• This role involves leading engineering teams, implementing data solutions, and ensuring optimal performance, reliability, and scalability of data systems.
• The candidate will work on data warehouses, data lakes, and large-scale data processing while driving best practices in data engineering and analytics., * Lead the design, configuration, implementation, and management of data integration frameworks.
• Define and develop best practices for data management environments.
• Develop and maintain data infrastructure including data warehouses and data lakes.
• Prepare and manipulate large datasets using big data technologies.
• Provide guidance on data modeling including dimensional and denormalized structures.
• Oversee delivery of data engineering projects and initiatives.
• Support long-term data initiatives and ad-hoc analysis activities.
• Implement data extraction, transformation, and loading processes.
• Enforce best practices for data auditing, scalability, and performance.
• Analyze data and provide actionable insights and reports.
• Design and implement quality control procedures for data sets.
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• Strong experience in designing and implementing ETL/ELT solutions.
• Hands-on experience with data warehouses, data lakes, and large-scale data systems.
• Strong knowledge of data modeling, dimensional modeling, and data warehousing concepts.
• Experience with big data platforms such as Hadoop or similar technologies.
• Strong understanding of data integration frameworks and best practices.
• Ability to lead and manage technical teams.

Experience:

• 8+ years of experience in data engineering and leading cross-functional teams.
• Experience developing and maintaining ETL/ELT scripts.
• Hands-on experience with application development and relational database design., * Strong programming skills in SQL, NoSQL, or Python.
• Deep understanding of database design and implementation concepts.
• Knowledge of data exchange and data movement concepts.
• Strong analytical and problem-solving skills.
• Excellent organizational and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Skills:

• Data engineering and data integration.
• ETL/ELT pipeline development.
• Data modeling and data warehousing.
• Big data technologies and Hadoop.
• Analytics and reporting.

Qualification And Education:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Equivalent experience may be considered in lieu of a degree.

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