7 - 11 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior Data Engineer, you will be responsible for designing and optimizing large-scale data pipelines using Databricks and the AWS ecosystem. Your expertise in Databricks and AWS with a minimum of 7 years of experience is mandatory for this role. Key Responsibilities: - Designing and optimizing large-scale data pipelines using Databricks and AWS technologies - Working with Databricks tools such as PySpark, Delta Lake, and MLflow - Utilizing AWS services including Glue, S3, Lambda, Redshift, and EMR - Developing and maintaining Data Lake, ETL pipelines, CI/CD processes - Proficiency in Python and SQL for data processing and analysis Qualifications Required: - Minimum 7 years of experience working with Databricks and AWS technologies - Strong understanding of data engineering concepts and best practices - Hands-on experience with building and optimizing ETL pipelines - Proficiency in programming languages such as Python and SQL - Experience with CI/CD processes for automated deployment If you are passionate about data engineering and have the required skills and experience, we encourage you to apply by sending your resume to anindita.goswami@prohrstrategies.com. Feel free to reach out directly for more information about the role.,

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