Description:

Amazon’s Finance Tech team is looking for a Data Engineer who is excited about working with massive volumes of data and delivering scalable engineering solutions using AWS technologies. This role involves contributing to one of the world’s largest finance data warehouses by volume, supporting rapid business growth across North America, Asia, and Europe. The solutions you build will help deliver business intelligence applications that immediately influence important decision-making at Amazon.

In this role, you will be expected to design, build, and support secure and scalable platforms for data access and reporting. You will collaborate closely with tax, finance, and accounting teams to translate requirements into actionable BI solutions. Along with data modeling and building ETL pipelines, you will optimize systems for performance, ensure data integrity, and engage in advanced reporting for business insight. This role requires constant learning and an eagerness to explore next-generation big data techniques in a high-growth business environment.

Key Responsibilities:

• Designing and developing secure platforms for large-scale datasets.
• Partnering with finance and accounting teams to deliver BI and reporting solutions.
• Building ETL pipelines, modeling data, and designing dashboards.
• Ensuring high data integrity, performance optimization, and scalability.
• Analyzing problems holistically and implementing solutions that scale.
• Staying updated on big data technologies and piloting innovative solutions.
• Automating and simplifying reporting processes for self-service analytics.

Key Technical Skills:

SQL, Data modeling, ETL pipelines, HiveQL, SparkSQL, Scala, Python, KornShell, Hadoop, Spark, Hive, EMR, Informatica, ODI, SSIS, Datastage

Requirements:

• Minimum 1+ years of experience in data engineering
• Solid working knowledge of SQL and data modeling
• Hands-on experience with ETL development and data warehousing
• Proficiency with at least one query language (SQL, HiveQL, SparkSQL, PL/SQL)
• Competency with scripting languages (Python, KornShell)
• Ability to work with large volumes of data and build scalable infrastructure
• Analytical mindset with strong problem-solving skills
• Preferred: Experience in Big Data technologies such as Hadoop, Hive, EMR, Spark and familiarity with ETL tools like Informatica, SSIS, Datastage

This position will give you exposure to cutting-edge AWS tools, big data platforms, and finance-driven datasets where your work has a direct business impact.