Data Engineer, Infra-Finance Business intelligence & Transformations

Data Engineer, Infra-Finance Business intelligence & Transformations jobs in United States

Amazon

• $101K/yr - $160K/yr

Responsibilities

• Design, implement, and support a platform providing secured access to large datasets
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Tune application and query performance using profiling tools and SQL
• Analyze and solve problems at their root, stepping back to understand the broader context
• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
• Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Preferred

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave
• Glassdoor
• 3.7
• Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and AI infrastructure.
• Seattle, Washington, USA
• https://amazon.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Product Management
• Customer Service and Support
• Accounting and Finance
• Sales
• Creatives and Design
• Marketing
• Human Resources
• Legal and Compliance
• Education and Training
• Public Sector and Government
• Arts and Entertainment
• Trends of Total Sponsorships
• *2026
• (19841)

Qualifications

• 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)
• Bachelor's degree in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc

Required skills

• Amazon EMR, BODI, DDL, Data Modeling, Data Warehousing, DataStage, ETL Pipeline Development, Hadoop, Hive, HiveQL, Informatica, KornShell, MDX, ODI, PL/SQL, Python, SQL, SSIS, Scala, Spark, SparkSQL

Experience

• 1+ years