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Location: DHA Phase 2

Timing: 11:00 AM -8:00 PM (Onsite)

As an Associate Data Engineer, you will be responsible for designing and implementing data pipelines, maintaining our data infrastructure, and optimizing data storage and retrieval. You will work closely with other data engineers, data scientists, and stakeholders to ensure our data is reliable, accurate, and accessible.

Responsibilities:

- Design, build, and maintain scalable and efficient data pipelines using Airflow and Python

- Implement and maintain data storage solutions on AWS, such as S3 and Redshift

- Develop and maintain data infrastructure, including ETL processes, data warehousing, and data lakes

- Collaborate with data scientists to ensure data is clean, accurate, and readily available for analysis

- Optimize data retrieval and storage processes to ensure high performance and reliability

- Monitor and troubleshoot data pipelines and infrastructure issues

- Work with stakeholders to understand data requirements and implement solutions that meet their needs

- Stay up-to-date with the latest technologies and trends in data engineering

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or related field

- 6 – 12 months of experience in data engineering, with a focus on designing and implementing data pipelines and infrastructure

- Strong skills in Airflow and Python, with experience in data manipulation, data integration, and data analysis

- Experience with AWS services such as S3, Redshift, EMR, and Lambda

- Experience with data warehousing and data modeling concepts

- Strong problem-solving skills and attention to detail

- Excellent communication and collaboration skills

If you meet these requirements and are passionate about data engineering, we would love to hear from you. Please apply with your resume and cover letter, and let us know why you would be a great fit for our team.

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