
Data Infrastructure Specialist
7 days ago
As a key member of our team, you will contribute to all aspects of the data engineering and deployment lifecycle, including design, development, documentation, testing, and maintenance.
- Design/implement automation for massive data infrastructure to scale for analytics needs of case management.
- Build solutions to achieve Best At Amazon standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
- Enable efficient data exploration, experimentation of large datasets on data platform and implement data access control mechanisms for stand-alone datasets.
- Design and implement scalable and cost-effective data infrastructure to enable Non-IN use cases on data platform.
- Interface with other technology teams to extract, transform, and load data from wide variety of data sources using SQL, Amazon, and AWS big data technologies.
- Drive operational excellence strongly within team and build automation and mechanisms to reduce operations.
Key Skills:
- 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).
- Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
Requirements:
- At least 1 year of experience in data engineering.
Preferred Qualifications:
- Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc.
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