AWS Data Engineer
: Job Details :

Wripple is looking for an AWS Data Engineer for one of our clients in the airline industry. This is a 40 hour/week, 12-month contract with possibility for extension. You must be able to go onsite to the client's headquarters 2-3 days/week in south Atlanta.

This role is ideal for a skilled data engineer who has a deep understanding of data engineering best practices, a strong technical skill set, and a proactive approach to problem-solving. You will lead the development of data pipelines to integrate, aggregate, and harmonize marketing performance data from various sources, while driving the migration to modern platforms like Python and AWS. You will work closely with cross-functional teams, including analysts, data scientists, and marketing stakeholders, to ensure the seamless delivery of reliable and scalable data solutions.

Responsibilities:

Data Pipeline Development and Maintenance:

• Design, build, and optimize scalable ETL/ELT pipelines to ingest data from diverse sources such as APIs, cloud platforms, and databases.
• Ensure pipelines are robust, efficient, and capable of handling large volumes of data.

Data Integration and Harmonization:

• Aggregate and normalize marketing performance data from multiple platforms (e.g., Adobe Analytics, Salesforce Marketing Cloud, ad platforms).
• Implement data transformation and enrichment processes to support analytics and reporting needs.

Data Quality and Monitoring:

• Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
• Troubleshoot and resolve issues related to data quality, latency, or performance.

Collaboration with Stakeholders:

• Partner with marketing teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
• Provide technical support and guidance on data-related issues or projects.

Tooling and Automation:

• Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
• Maintain and optimize existing workflows while continuously identifying opportunities for improvement.

Documentation and Best Practices:

• Document pipeline architecture, data workflows, and processes for both technical and non-technical audiences.
• Follow industry best practices for version control, security, and data governance.

Continuous Learning and Innovation:

• Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
• Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.

What you need to succeed (minimum qualifications):

• 10+ years of data engineering experience
• 10+ years of experience with Python / AWS, AWS certification is a plus
• 5+ years of experience in Teradata
• Hands-on experience with databases and data platforms (Teradata and AWS preferred)
• Proficiency in Python, SQL, PySpark, Glue, Lambda, S3 and other AWS tool sets
• Hands-on experience in designing, implementing, managing large scale data and ETL solutions utilizing AWS Compute, Storage and database services (S3, Lambda, Redshift, Glue, Athena etc)
• Strong knowledge of relational and non-relational databases
• Good understanding of data warehouses, ETL, AWS architecture, Airflow and Redshift
• Ability to create clean, well-designed code and systems
• Proven ability to work with large and complex datasets
• Strong analytical and programming skills with the ability to solve data-related challenges efficiently
• Strong attention to detail and a commitment to data accuracy.
• Proven ability to learn new data models quickly and apply them effectively in a fast-paced environment.
• Excellent communication skills with the ability to present complex data findings to both technical and non-technical audiences.

What will give you a competitive edge (preferred qualifications):

• Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
• AWS certifications: Solution Architect (SAA/SAP) or Data Analytics Specialty (DAS)
• Experience working in marketing operations and the airline industry
• Experience migrating data pipelines and systems to modern cloud-based solutions
• Familiarity with marketing data platforms

ABOUT WRIPPLE:

Wripple is the first Agency Services Platform that connects clients with independent talent to create teams that thrive in an on-demand world. Our platform allows clients and talent to achieve speed, flexibility, and control of their projects and business.

Our mission is to provide clients, talent, and partners the freedom to do their very best work through a new platform that enables smart team building by matching organizations with proven on-demand digital marketing & experience talent. Wripple is continuously looking for the highest quality independent talent. Our platform provides freelancers with a complete operating system to land verified opportunities and focus on doing great work.

Let our Business Development team do the hard work to find qualified blue-chip clients that you get matched with based on your capabilities and the type of work you love to do. Take control of how you want to work through Wripple's Talent Dashboard: set your rates and preferences for how & when you want to work; receive online project briefs to determine whether to pursue; update your profile as your situation and skills change· Outsource the back office to Wripple, including payment, tax compliance as well as data and insights that help you make decisions for your business

There is absolutely no cost to be a member of Wripple. The process is simple. If you have the background for this specific role, please send your resume through the LinkedIn application process.

If you are not a direct match for this role, you can be considered for other opportunities by applying here: . After applying, you'll be invited to interview and if your background is a match for the type of roles we have at Wripple, you'll be approved to join our talent marketplace.