Join our dynamic team as a Data Engineering Lead in Hyderabad. This role focuses on hands-on leadership in designing, implementing, and delivering cutting-edge, large-scale cloud-based data engineering solutions.

You will leverage your deep expertise in data lakes, cloud infrastructure, and ETL/ELT processes to guide technical teams and manage client relationships from initial discussions through successful project completion.

Key contributions include architecting and building scalable cloud data solutions and data lakes. You will actively participate in pre-sales efforts, including client engagement, solution architecture, proposal creation, and Proof of Concepts.

Responsibilities also involve designing robust data storage architectures on AWS, Azure, or GCP, and developing efficient ETL/ELT pipelines using tools like Apache Spark and Databricks. Furthermore, you will implement data governance, security, and quality frameworks, while collaborating with data scientists and business stakeholders. Leading and mentoring a data engineering team is also a core part of this role, alongside optimizing cloud costs and ensuring project success.

We are seeking candidates with a minimum of 5 years of practical experience in Data Engineering and cloud-based solutions. A strong command of AWS, Azure, or Google Cloud Platform is essential, alongside proven experience in designing and implementing Data Lakes.

Proficiency in Apache Spark, Databricks, or similar ETL technologies, coupled with experience in serverless computing, is required. A solid understanding of data governance, quality, and security principles is expected. Experience with Docker, Kubernetes, and cloud data warehouses such as Redshift, BigQuery, or Synapse is also necessary. Strong programming skills in SQL, Python, Scala, or Java, along with demonstrated leadership in managing technical teams and project delivery, are crucial for this position.