Remote Senior Data Engineer

Description:

• The Senior Data Engineer role is a full-time position requiring a minimum of 7 years of experience.
• The primary responsibilities include designing, developing, and maintaining scalable, high-performance data pipelines using AWS technologies.
• The engineer will build and orchestrate ETL workflows leveraging AWS Glue, Lambda, Step Functions, and other services.
• The role involves working with both structured and unstructured data to transform raw inputs into clean, analytics-ready datasets.
• The engineer will implement data lake and data warehouse architectures utilizing AWS S3, Redshift, Athena, and related tools.
• Collaboration with cross-functional teams is essential to gather data requirements and ensure consistency, accuracy, and reliability.
• The position requires optimizing the performance of large-scale data systems, SQL queries, and data workflows.
• The engineer must uphold data governance, privacy, and compliance standards within the AWS environment.

Requirements:

• Candidates must have 7+ years of experience in data engineering or similar roles.
• Deep expertise in the AWS ecosystem is required, including S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, IAM, and Step Functions.
• Proficiency in Python and SQL for data processing and transformation is necessary.
• A solid foundation in data modeling, data warehousing, and big data processing is essential.
• Hands-on experience with orchestration tools like Apache Airflow or AWS Step Functions is required.
• Familiarity with CI/CD pipelines, DevOps practices, and version control systems like Git is necessary.
• Experience working in Agile development environments is required.

Benefits:

• The position offers the opportunity to work with cutting-edge AWS technologies and large-scale data systems.
• Employees will have the chance to collaborate with cross-functional teams and contribute to significant data projects.
• The role provides a platform for professional growth and development in data engineering and cloud technologies.
• The company promotes a culture of innovation and continuous learning within the data engineering field.