Senior Lead Data Engineer 28N25

We are seeking a highly skilled and experienced Senior Lead Data Engineer to join our dynamic team. In this role, you will be responsible for the design, implementation, and maintenance of large-scale data processing systems, ensuring efficient data flow and analytics. You will mentor a team of data engineers and collaborate with cross-functional teams to develop data-driven solutions that meet business objectives. The ideal candidate will have a strong background in data engineering, big data technologies, and a passion for building systems that can handle large volumes of data. If you have a proven track record in leading data engineering projects and thrive in a fast-paced environment, we would love to hear from you.

Responsibilities

• Lead the design and development of robust data processing architectures.
• Oversee the implementation and maintenance of ETL processes and data pipelines.
• Mentor and provide guidance to junior and mid-level data engineering team members.
• Collaborate with cross-functional teams to gather data requirements and objectives.
• Ensure the accuracy and integrity of data through rigorous testing and validation.
• Optimize data systems and processes to improve performance and scalability.
• Monitor and troubleshoot data processing systems to ensure reliable operations.
• Establish data management protocols, including data governance and security measures.
• Stay updated with the latest industry trends and technologies in data engineering.
• Prepare and present data insights and reports to stakeholders and decision-makers.
• Participate actively in the planning and execution of data strategy roadmaps.
• Foster a culture of continuous improvement and innovation within the data team.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• At least 7 years of experience in data engineering and related fields.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure.
• In-depth knowledge of SQL and relational databases for data querying.
• Excellent problem-solving skills and the ability to work well under pressure.
• Strong leadership qualities with experience managing a team of engineers.