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Transcendence Human Resources Private Limited

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Senior Data Engineer

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Summary

Senior Data Engineer designing, building, and maintaining scalable data pipelines and architectures, primarily on Databricks, alongside ETL, data modeling, and data warehousing work in cloud and big-data environments. Collaborates with data scientists, analysts, and stakeholders; role is onsite across multiple Indian cities via an HR/staffing firm.

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and maintaining scalable data pipelines and architectures. As a Senior Data Engineer, you will play a crucial role in transforming raw data into actionable insights that drive business decisions. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and secure. Key Responsibilities: - Design and implement robust data pipelines using Databricks and other relevant technologies. - Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. - Optimize data storage and retrieval processes to enhance performance and efficiency. - Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability. - Stay updated with the latest industry trends and technologies to continuously improve data engineering practices. Required Skills: - Proficiency in Databricks and experience with data engineering best practices. - Strong understanding of data modeling, ETL processes, and data warehousing concepts. - Familiarity with cloud platforms and big data technologies. - Excellent problem-solving skills and the ability to work in a fast-paced environment. - Strong communication skills to effectively collaborate with team members and stakeholders. If you are passionate about data engineering and eager to make a significant impact in a growing organization, we encourage you to apply for this exciting opportunity.

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