Seeking a hands-on Data Engineering Lead to spearhead the design, development, and deployment of extensive cloud-based data solutions. This role demands profound expertise in data lakes, cloud infrastructure, ETL/ELT processes, and contemporary data architectures. The ideal candidate will also excel in managing technical teams and guiding client engagements from initial sales discussions through successful project completion.

This is an on-site position in Pune, focused on building robust and scalable data engineering solutions.

Lead the architecture and implementation of scalable cloud data engineering solutions and data lakes. Drive pre-sales activities, including client consultations, solution architecture, and proposal development. Design secure and scalable data storage solutions on AWS, Azure, or GCP. Develop and optimize ETL/ELT pipelines using tools like Apache Spark and Databricks. Build efficient data transformation workflows with serverless technologies. Establish data governance, security, and quality frameworks. Collaborate with data scientists and business stakeholders to ensure reliable analytics. Mentor and guide a team of data engineers. Optimize cloud infrastructure costs while maintaining performance. Ensure projects meet client and business objectives.

Requires a minimum of 5 years of practical experience in Data Engineering and cloud-based data solutions. Demonstrated expertise in AWS, Azure, or Google Cloud Platform is essential. Experience designing and implementing Data Lakes is a must. Hands-on proficiency with Apache Spark, Databricks, AWS Glue, or Azure Data Factory is required. Familiarity with serverless computing (AWS Lambda, Azure Functions) and data governance, quality, and security best practices is crucial. Experience with Docker, Kubernetes, and cloud data warehouses like Amazon Redshift or Google BigQuery is expected. Proven leadership experience managing technical teams and delivering end-to-end projects, coupled with strong communication and stakeholder management skills, is vital. Proficiency in SQL, Python, Scala, or Java is also necessary.