As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the design and implementation of scalable data architectures to support business needs.- Coordinate with stakeholders to understand data requirements and translate them into technical solutions.- Mentor junior team members to enhance their technical skills and promote best practices.- Continuously evaluate and improve data processes to optimize performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering,- Valuable To Have Skills: Experience with Databricks Unified Data Analytics Platform, Apache Airflow, PySpark.- Strong knowledge of data pipeline development and orchestration techniques.- Experience with data storage solutions and database management systems.- Ability to work with large-scale data processing frameworks and cloud-based data platforms.- Familiarity with data quality assurance and monitoring tools to maintain data integrity. Additional Information: - The candidate should have minimum 5 years of experience in Data Engineering.

📌 Data Engineer (Hyderabad)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Hyderabad