Data Engineer

Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift. Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness. Implement data governance and security best practices to ensure compliance and data integrity. Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring. Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities. Requirements : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines. Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift. Strong programming skills in languages such as Python, Java, or Scala. Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies. Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Required Skills ['Python', 'SQL', 'AWS', 'Pyspark']

Additional Information

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