Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on leveraging Databricks and PySpark to build robust data pipelines and analytics solutions. As a Data Engineer, you will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Databricks and PySpark. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Optimize data processing workflows for performance and efficiency. - Ensure data quality and integrity through rigorous testing and validation processes. - Work with cloud platforms, specifically Google Cloud Platform (GCP), to manage and deploy data solutions. - Stay updated with the latest industry trends and technologies in data engineering and cloud computing. Required Skills: - Proficiency in Databricks and PySpark for data processing and analytics. - Experience with Google Cloud Platform (GCP) services related to data storage and processing. - Strong understanding of data modeling, ETL processes, and data warehousing concepts. - Ability to work collaboratively in a team environment and communicate effectively with stakeholders. - Problem-solving skills and a proactive approach to identifying and addressing data challenges. If you are passionate about data engineering and eager to contribute to innovative data solutions, we encourage you to apply and join our team in Tamil Nadu or Andhra Pradesh.