Data Engineer, Flex Analytics
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence
In short
Join the Amazon Flex Analytics Team as a Data Engineer in Hyderabad, India, to build the global business intelligence platform powering Flex worldwide. You will design and implement scalable processes, develop data architecture, and create solutions for data integrity, focusing on understanding driver behavior and satisfaction. Experience with Python, R, or Spark is highly preferred.
Responsibilities
- Create and support data pipelines built on Amazon and AWS technologies including Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum
- Develop and improve the current data architecture, data quality, monitoring and data availability
- Collaborate with BI Engineers to continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
- Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g., data visualization tools for non-tech business users)
- Participate in strategic and tactical planning discussions that drive the DE team’s work
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)
Desired Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Experience with Python, R, or Spark is highly preferred
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodation or adjustment for individuals with disabilities during the application and hiring process.
#Data Engineer#Flex Analytics#Amazon#AWS#Big Data