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We are seeking a skilled AWS Data Engineer to join our team and help drive data transformation and analytics initiatives using AWS cloud services. The AWS Data Engineer will be responsible for designing, implementing, and maintaining data pipelines, data lakes, and data warehouses on the AWS platform to support business intelligence and data-driven decision making.
Job Responsibility:
Design and implement scalable and efficient data pipelines using AWS services such as S3, Glue, EMR, and Redshift
Develop and maintain data lakes and data warehouses to store and process large volumes of structured and unstructured data
Collaborate with data scientists and business analysts to deliver actionable insights and analytics solutions
Optimize data infrastructure for performance, reliability, and cost efficiency
Troubleshoot and resolve data integration and data quality issues
Stay current with industry trends and best practices in cloud data engineering
Provide technical guidance and mentorship to junior team members
Requirements:
Bachelor's degree in Computer Science, Information Systems, or related field
3+ years of experience in data engineering, with a focus on AWS cloud services
Proficiency in SQL, Python, and AWS data services such as S3, Glue, EMR, and Redshift
Experience with ETL processes, data modeling, and data visualization tools
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
Nice to have:
AWS certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Big Data - Specialty are a plus
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