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À propos
Duration : Long term
Location : Onsite - Memphis, TN
Job Summary:
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong experience in AWS, Python, and ETL processes, and will support data integration, transformation, and analytics initiatives across the organization.
Key Responsibilities: Design, build, and optimize ETL data pipelines to support business intelligence and analytics needs Develop and maintain data solutions on AWS cloud platform Write efficient and scalable Python scripts for data processing and automation Work with large datasets to ensure data quality, integrity, and performance Collaborate with data analysts, data scientists, and business stakeholders to gather requirements Monitor and troubleshoot data workflows and pipeline failures Implement best practices for data governance, security, and documentation Optimize data storage and retrieval for high performance and cost efficiency Required Skills & Qualifications:
Strong experience working as a Data Engineer Hands-on expertise with AWS services (such as S3, Glue, Redshift, Lambda, or EMR) Proficiency in Python programming for data engineering tasks Solid experience in ETL development and data pipeline architecture Experience working with SQL and relational / NoSQL databases Understanding of data warehousing concepts and big data processing Strong analytical, problem-solving, and communication skills Preferred Qualifications:
Experience with workflow orchestration tools (e.g., Airflow) Knowledge of data modeling and performance tuning Exposure to CI/CD and DevOps practices in data environments
Compétences linguistiques
- English
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