Team Lead Data Engineer

You will lead a team of data engineers to build and maintain data pipelines and platforms supporting business applications and analytics initiatives. Your responsibilities will include designing scalable data architectures, collaborating with stakeholders to understand data needs, implementing data processes, and developing data products such as dashboards and APIs for self-service analytics. Key Responsibilities: - Lead a team of data engineers in building and maintaining data pipelines and platforms - Design scalable and robust data architectures to ensure high performance, availability, and security - Collaborate with business and technology stakeholders to define data project specifications - Implement data integration, transformation, and quality processes - Develop data products like dashboards, reports, and APIs for self-service analytics Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or a quantitative discipline - Minimum 5 years of relevant working experience - Strong hands-on experience with data engineering technologies such as Apache Spark, Hadoop ecosystem, etc. - Proven track record of leading teams and managing projects - Excellent analytical and problem-solving skills with attention to detail - Effective communication and interpersonal skills for cross-functional collaboration In addition, the company offers a competitive salary, benefits package, and a dynamic environment that supports your professional development and recognizes your achievements. You will lead a team of data engineers to build and maintain data pipelines and platforms supporting business applications and analytics initiatives. Your responsibilities will include designing scalable data architectures, collaborating with stakeholders to understand data needs, implementing data processes, and developing data products such as dashboards and APIs for self-service analytics. Key Responsibilities: - Lead a team of data engineers in building and maintaining data pipelines and platforms - Design scalable and robust data architectures to ensure high performance, availability, and security - Collaborate with business and technology stakeholders to define data project specifications - Implement data integration, transformation, and quality processes - Develop data products like dashboards, reports, and APIs for self-service analytics Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or a quantitative discipline - Minimum 5 years of relevant working experience - Strong hands-on experience with data engineering technologies such as Apache Spark, Hadoop ecosystem, etc. - Proven track record of leading teams and managing projects - Excellent analytical and problem-solving skills with attention to detail - Effective communication and interpersonal skills for cross-functional collaboration In addition, the company offers a competitive salary, benefits package, and a dynamic environment that supports your professional development and recognizes your achievements.