Amazon
Bengaluru, Karnataka, India Posted 4d ago
Do you have the technical skill to build BI solutions that process billions of rows a day using AWS technologies? Amazon brings you an opportunity to create next-generation tools for intuitive data access in the Data Insights, Metrics & Reporting team.
Key Responsibilities
Work with SDE teams and business stakeholders to understand data requirements and design data ingress flow for team.
Lead the design, model, and implementation of large, evolving, structured, semi-structured and unstructured datasets.
Evaluate and implement efficient distributed storage and query techniques.
Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources.
Implement robust and maintainable code with clear and maintained documentation.
Implement test automation on code implemented through unit testing and integration testing.
Work in a tech stack which is a mix of AWS services and legacy ETL tools within Amazon.
Requirements
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).
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
