Data Engineer II: Data Lake & Analytics on AWS

Amazon Inc.; Asti; Ibrido; EUR 106.000 - 158.000; Tempo pieno

Descrizione del lavoro

Amazon Advertising is seeking a Data Engineer II for Sales Data Services to design and optimize data warehouse and data lake infrastructure on the AWS data stack, including Redshift and Python-based ETL pipelines.

You will empower internal stakeholders with self-serve analytics, collaborate across BI, data science and product teams, and mentor junior engineers while scaling robust analytic solutions across large data sets.

Competenze

• 3+ years of data engineering experience.
• Experience building/operating highly available, distributed data systems.
• Experience with SQL.
• Experience in Python, Java, Scala, or NodeJS.

Mansioni

• Design, implement, and support data warehouse data lake infrastructure using AWS big data stack, Python, Redshift.
• Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
• Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
• Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
• Mentor other engineers, influence positively team culture, and help grow the team.

Conoscenze

SQL

Python

Java/Scala/NodeJS

Strumenti

Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Descrizione del lavoro

Amazon Advertising is seeking a Data Engineer II for Sales Data Services to design and optimize data warehouse and data lake infrastructure on the AWS data stack, including Redshift and Python-based ETL pipelines.

You will empower internal stakeholders with self-serve analytics, collaborate across BI, data science and product teams, and mentor junior engineers while scaling robust analytic solutions across large data sets.