Data Engineer I, DSP Analytics

Do you enjoy diving deep into data, developing real-time and batch pipelines that generate actionable insights?The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions Basic qualifications: - 1+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Knowledge of database, data warehouse, or data lake solutions Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting - Experience identifying opportunities to integrate AI solutions into products and services to drive business value Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.