Marketing Data Engineer

Description Our client is seeking a talented and motivated Data Engineer to join our Marketing Data Science team. 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. Skills Sql, aws redshift, aws lambda, python, teradata Top Skills Details Sql, aws redshift, aws lambda, python, teradata Additional Skills & Qualifications 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, Delta’s EDW, 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. Experience Level Expert Level Pay and Benefits The pay range for this position is $65.00 - $70.00 Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Atlanta,GA. Application Deadline This position will be accepting applications until Dec 30, 2024. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.