AWS Data Engineer

We are seeking an experienced AWS Data Engineer to design, build, maintain, and optimize scalable cloud-based data platforms that support enterprise analytics, reporting, operational insights, and business decision-making. This hands-on engineering role is ideal for someone with strong expertise in AWS, SQL, Python, ETL/ELT, and data warehousing who enjoys building reliable, high-performance data pipelines and enabling data-driven business outcomes. The successful candidate will develop and support enterprise-scale data solutions, manage data movement across multiple systems, optimize cloud data environments, and ensure the delivery of trusted, analytics-ready data., * Design, develop, maintain, and optimize scalable ETL/ELT pipelines.

• Build automated data ingestion processes from APIs, relational databases, applications, flat files, streaming platforms, and third-party systems.
• Develop reusable, scalable, and maintainable data integration frameworks.
• Design, implement, and optimize AWS-based data engineering solutions.
• Build and support enterprise data lakes and cloud data warehouse environments.
• Create curated analytical datasets for reporting, business intelligence, and advanced analytics.
• Monitor production data pipelines, investigate failures, and resolve performance bottlenecks.
• Implement data quality, validation, governance, lineage, and monitoring processes.
• Optimize SQL queries and data processing workflows for performance and scalability.
• Collaborate with business stakeholders, data analysts, architects, and engineering teams to deliver high-quality data solutions.
• Document technical designs, data flows, and operational procedures.
• Participate in production support, incident management, and continuous improvement initiatives.

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related field, or equivalent professional experience.
• 5+ years of experience in Data Engineering or a related role.
• 5+ years of hands-on SQL experience supporting enterprise-scale environments.
• Strong Python programming and scripting experience.
• Experience designing, developing, and supporting production ETL/ELT pipelines.
• Experience designing and supporting enterprise data warehouse solutions.
• Experience supporting production data operations, troubleshooting issues, and optimizing performance.

• Hands-on AWS experience with several of the following services:

• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon Redshift
• Amazon Athena
• Amazon EMR

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and collaboration skills.