Senior Data Engineer

Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Experience: 6-13 years Location: Chennai About Tredence: Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in various sectors including retail, healthcare, finance, and manufacturing. We are looking for a highly skilled Senior Data Engineer to join our team. As a Senior Databricks Engineer / Databricks Technical Lead/ Data Architect, you will be responsible for designing, developing, and maintaining large-scale data architectures using Databricks. Your primary responsibilities will include: • Designing and implementing scalable data pipelines using Databricks, Apache Spark, and other big data technologies. • Collaborating with cross-functional teams to integrate data solutions into business applications. • Developing and maintaining complex data models, data warehouses, and data lakes. • Providing technical leadership and guidance to junior engineers on the team. • Staying up-to-date with industry trends and emerging technologies in big data and analytics. Requirements: • 6-13 years of experience as a Data Architect or Senior Databricks Engineer / Databricks Technical Lead/ Data Architect. • Strong understanding of Databricks, Apache Spark, and other big data technologies. • Experience with cloud-based data platforms such as AWS, Azure, or GCP. • Excellent problem-solving skills and ability to work independently. • Strong communication and collaboration skills. Benefits: • Competitive salary and benefits package. • Opportunity to work on cutting-edge projects and technologies. • Collaborative and dynamic work environment. • Professional development opportunities, including training and mentorship programs.