Join us in the FBA EU Analytics Team and Tackle Data Warehousing, AI initiatives and Reporting Challenges!
Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's EU platform. We specialize in constructing and maintaining intricate standard data pipelines , derive and analyze performance of the sellers selling on Amazon.
We are currently in search of a brilliant, self-driven, Data Engineer to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines that support AI/ML initiatives while utilizing your expertise to raise the bar on data timeliness, discoverability and availability of the same.
Key job responsibilities
• Design and implement scalable, secure data pipelines and infrastructure using AWS services (eg., Glue, EMR, Lamba)
• Build and maintain high-performance ETL processes that handle large-scale, complex datasets
• Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
• Transform raw data into actionable insights through effective data modeling and integration
• Implement best practices in data system creation, data integrity, and documentation
• Proactively identify opportunities for process improvement and automation
• Partner with business stakeholders to gather requirements and translate them into technical solutions using AI
- 1+ years of data engineering experience
- 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)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
