Senior AWS Data Engineer

What You'll Be Doing

As a Senior Data Engineer, you will design, build, and maintain modern cloud-based data platforms that enable data-driven decision making.

🚀 Build Modern Data Pipelines

• Design, develop, and maintain cloud-native data pipelines capable of ingesting and transforming data from multiple sources, including APIs, FTP, SFTP, databases, and event-driven systems.
• Develop highly scalable batch and streaming data processing solutions.
• Build resilient, reusable, and maintainable ETL/ELT processes following modern engineering best practices.
• Implement monitoring, logging, and alerting mechanisms to ensure data quality, pipeline reliability, and operational visibility.

Engineer Reliable Data Platforms

• Design and manage complex analytical datasets that meet both business and technical requirements.
• Build scalable data models that support reporting, analytics, and downstream applications.
• Create and maintain database objects including tables, views, stored procedures, and automation scripts.
• Optimize SQL queries and data models to maximize performance and scalability.
• Support Data Governance initiatives through metadata management, documentation, and data cataloging.

☁️ Build Cloud-Native Solutions

• Develop solutions leveraging AWS services including:
• Amazon S3
• ECS
• Lambda
• RDS
• SNS
• SQS
• IAM
• CloudWatch
• Contribute to the design of secure, scalable, and highly available cloud architectures.
• Collaborate on Infrastructure as Code and cloud automation initiatives.

🤝 Collaborate Across Teams

• Work closely with Product Owners, Data Analysts, Software Engineers, and business stakeholders to understand requirements and deliver high-quality data solutions.
• Participate actively in Scrum ceremonies, sprint planning, backlog refinement, and continuous delivery activities.
• Support production environments through monitoring, troubleshooting, and incident resolution.

🚀 Drive Continuous Improvement

• Continuously improve the scalability, performance, security, and maintainability of data products.
• Promote engineering best practices, code quality, testing, and documentation.
• Stay up to date with emerging technologies, cloud services, and modern Data Engineering trends.
• Contribute ideas that improve developer productivity and platform reliability.

🛠️ What We're Looking For

Required Experience

✔️ Proven experience as a Data Engineer developing cloud-native data platforms.

✔️ Strong experience designing and implementing AWS-based data pipelines.

✔️ Excellent SQL skills, including complex query optimization and analytical database development.

✔️ Strong programming skills in Python, with hands-on experience using libraries such as:

• Pandas
• Boto3

✔️ Solid understanding of:

• Data Architecture
• Data Modeling
• Data Governance
• ETL / ELT
• Data Quality
• Metadata Management

✔️ Experience working with structured, semi-structured, and unstructured data.

✔️ Familiarity with graph databases is considered a plus.

Technical Stack

Cloud

• AWS
• S3
• ECS
• Lambda
• RDS
• SNS
• SQS
• IAM
• CloudWatch

Data Platforms

• Snowflake
• SQL
• dbt Core (preferred)

Programming

• Python
• Pandas
• Boto3

Orchestration

• AWS Step Functions
• Apache Airflow
• Prefect

DevOps

• CI/CD
• GitHub
• GitLab
• Docker (nice to have)
• Terraform
• CloudFormation

Analytics

• Tableau

⭐ Nice to Have

➕ Strong hands-on experience with Snowflake.

➕ Experience implementing CI/CD pipelines for Data Engineering.

➕ Experience with Infrastructure as Code using Terraform or CloudFormation.

➕ AWS Certification (Solutions Architect or equivalent).

➕ Snowflake Certification (SnowPro Core or equivalent).

➕ Experience working with modern Data Mesh or Data Lake architectures.

What Makes You Successful

We're looking for someone who is:

• Passionate about building high-quality data platforms.
• Curious, proactive, and always looking for better technical solutions.
• Comfortable working in Agile product teams.
• Analytical and able to solve complex technical challenges.
• Detail-oriented, with a strong focus on performance, scalability, and reliability.
• An excellent communicator who enjoys collaborating across technical and business teams.
• Committed to continuous learning and knowledge sharing.
• Someone who believes that great products are built by great teams—and who enjoys working in one.