Amazon Senior Data Engineer AWS Marketing Insights 

United States, Texas, Austin 

998440995

Sales, Marketing and Global Services (SMGS)
Key job responsibilities
As a Data Engineer on the AWS Marketing Insights team, your pivotal role will revolve around designing, building, and maintaining robust data pipelines and infrastructure to drive data-driven insights. Core responsibilities include architecting scalable and fault-tolerant pipelines to extract, transform, and load data from various sources into data warehouses or lakes. Leveraging cutting-edge tools and technologies, you'll implement ingestion, transformation, and integration processes, ensuring stringent data quality through validation, cleansing, and deduplication.You'll design and implement high-performance, scalable, and cost-efficient data storage solutions. Utilizing CI/CD principles, you'll automate infrastructure deployment and maintenance processes, ensuring a streamlined data ecosystem. Data modeling and engineering will be crucial, involving designing and implementing optimized data models, developing and maintaining ETL processes, and collaborating with analysts and functional managers to understand data needs and provide tailored data structures.Ensuring data governance, security, and compliance will be paramount. You'll implement robust policies and processes, enforce access controls, encryption, and auditing mechanisms, and collaborate cross-functionally to establish and maintain data governance standards.Continuous improvement and automation will be woven into your daily activities, continuously evaluating and optimizing processes, pipelines, and infrastructure, implementing automation and monitoring tools, and staying ahead of emerging data engineering technologies and trends.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of data engineering, database engineering, business intelligence or business analytics experience
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Proficient in programming languages such as Python, Scala, or Java, and familiarity with SQL.
- Experience with data engineering tools and frameworks like Apache Spark, Apache Kafka, Apache Airflow, or similar.
- Knowledge of data warehousing concepts, dimensional modeling, data modeling techniques and building ETL pipelines.
- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.