Amazon is seeking an experienced Data Engineering Manager to lead and scale a team building next-generation data analytics platforms that power digital businesses across Amazon.
Requirements
- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
Responsibilities
- You will architect and deliver enterprise-wide analytical datamarts while defining metrics strategy for analyzing DA product health and success.
- This role involves delivering large-scale architecture and solutions that accelerate digital customer insights and data instrumentation for cross-digital content optimization.
- You'll leverage data lakes, distributed processing, NoSQL databases, and batch/stream processing to solve business analytics and ML use-cases
- You will partner with Software Developers, Data Engineers, and ML Scientists to create analytical BI and data products.
- The role offers broad scope to think big on behalf of Amazon's digital content, subscription, and device customers, with wide visibility to connect with digital leadership and influence through high-value BI insights and analytical tools.
Other
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- You will partner with Software Developers, Data Engineers, and ML Scientists to create analytical BI and data products.
- The ideal candidate has strong business judgment, excellent written and verbal communication skills, and is comfortable working with business leaders at all levels, including senior management.
