Lead Data Engineer

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Job Overview:

We are seeking an experienced and dynamic Lead Data Engineer to join our team. This role offers a unique opportunity to lead and mentor a talented team of data engineers, drive the design and implementation of scalable data solutions, and play a key role in shaping our data infrastructure and strategy.

Responsibilities:

• Team Leadership: Provide technical leadership and mentorship to a team of data engineers, fostering a collaborative and innovative environment focused on delivering high-quality solutions.
• Architectural Design: Lead the design and implementation of scalable, robust, and maintainable data architectures, ensuring alignment with business goals and future scalability requirements.
• Data Pipeline Development: Oversee the development and optimization of ETL pipelines to extract, transform, and load data from diverse sources into data warehouses and other storage systems.
• Data Modeling: Define and implement data models and schemas to support business requirements, optimizing for performance, flexibility, and scalability.
• Data Governance and Quality: Establish and enforce data governance policies and best practices to ensure data quality, integrity, and security across all data assets.
• Technological Innovation: Stay abreast of emerging technologies and trends in data engineering and analytics, evaluating their potential impact and leading initiatives to adopt relevant technologies.
• Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements, deliver actionable insights, and drive data-driven decision-making.
• Performance Optimization: Monitor and optimize data pipelines, databases, and data processing systems for performance, scalability, and efficiency, identifying and addressing bottlenecks and optimization opportunities.
• Documentation and Best Practices: Develop and maintain documentation, standards, and best practices for data engineering processes, ensuring knowledge sharing and maintainability.
• Project Management: Lead data engineering projects from conception to completion, including project planning, resource allocation, and stakeholder communication.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 7+ years of proven experience in a data engineering role, with demonstrated expertise in designing and implementing scalable data solutions.
• Strong proficiency in programming languages such as Python, SQL, or Java, as well as experience with data manipulation and analysis tools (e.g., Pandas, Apache Spark).
• Extensive experience with database technologies (e.g., SQL databases, NoSQL databases, data warehouses) and ETL frameworks.
• Excellent leadership and communication skills, with the ability to inspire and mentor a team, collaborate effectively with cross-functional stakeholders, and influence technical decision-making.
• Strong problem-solving and analytical abilities, with a focus on delivering practical, scalable solutions to complex data engineering challenges.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Job Location: Remote/Hybrid/In-Office

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