Senior Data Engineer/Data Architect

14 - 18 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: As an AVP - Databricks, your primary responsibility will be to lead and manage Databricks-based project delivery. You will ensure that solutions are designed, developed, and implemented according to client requirements and industry standards. Your role will involve acting as a subject matter expert on Databricks, providing guidance on architecture, implementation, and optimization to teams. Collaboration with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads will also be a key aspect of your role. Additionally, you will serve as the primary point of contact for clients to ensure alignment between business requirements and technical delivery. Key Responsibilities: - Lead and manage Databricks-based project delivery - Ensure solutions are designed, developed, and implemented according to client requirements and industry standards - Act as a subject matter expert on Databricks, providing guidance on architecture, implementation, and optimization - Collaborate with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads - Serve as the primary point of contact for clients to ensure alignment between business requirements and technical delivery Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or a related field (Masters or MBA preferred) - Relevant years of experience in IT services with a specific focus on Databricks and cloud-based data engineering - Proven experience in leading end-to-end delivery, solution, and architecture of data engineering or analytics solutions on Databricks - Strong experience in cloud technologies such as AWS, Azure, GCP, data pipelines, and big data tools - Hands-on experience with Databricks, Spark, Delta Lake, MLflow, and related technologies - Expertise in data engineering concepts including ETL, data lakes, data warehousing, and distributed computing (Note: No additional details about the company were provided in the job description),

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