Lead Data Engineer

Highly skilled and experienced Senior Data Engineer to lead our data engineering & analytics team. The successful candidate will be responsible for designing, implementing, and managing our data infrastructure and analytical systems. This role requires exceptional technical expertise in data modeling, ETL processes, and database management. As the team lead, you will provide guidance and mentorship to other data engineers, ensuring high-quality deliverables and driving the teams success. Major Responsibilities Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks. Lead and manage a team of data engineers, providing technical guidance, mentoring, and support. Implementing and enforcing architectural standards and frameworks to ensure a flexible and scalable data environment. Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions. Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation. Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows. Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability. Playing a key role in DevOps activities, including deployment of jobs and required infrastructure setup. Staying updated with the latest industry trends and technologies in data engineering and analytics. Knowledge and Education Degree in computer science or a similar field. Work Experience 7+ Years of experience in the field of Data Engineering & Analytics. Strong understanding of Data warehousing, engineering & ETL concepts. Experience in Databricks development using Python, PySpark & DLT Pipelines. Experience working with databases and various types of data storage. Excellent communication and interpersonal skills Time and project management skills, with the ability to prioritize and multitask as needed. Goal orientation and holistic thinking and action. Experience working with Azure / AWS. Certifications in relevant data technologies will be an added advantage. Skills and Competencies Team leading skills Troubleshooting and analytical skills. Good communication and collaboration skills. Client management skills.