AWS Data - Senior Engineer @ Iris Software

• Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality.
• AWS Data Services:Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc.
• Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options.
• Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services.
• Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources.
• Data Quality: Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency.
• Cloud Optimization: Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud.

Qualifications

• Bachelors degree in computer science, Engineering, or a related field.
• 6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms.
• Strong understanding of data warehousing and data lake concepts.
• Proficiency in SQL and at least one programming language (Python/Pyspark).
• Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka.
• Knowledge of data modeling and data quality best practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a team.

Preferred Qualifications

Certifications in AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect Data