Data Engineer – Flex Analytics

About the role

Join the Amazon Flex Analytics team to build the global business intelligence platform that powers Flex worldwide. You will design and implement scalable data solutions that help understand driver behavior and satisfaction.

Key responsibilities

• Create and support data pipelines on AWS technologies such as Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum.
• Develop and improve data architecture, data quality monitoring, and data availability.
• Collaborate with BI Engineers to enhance reporting and self‑service analytics.
• Design, implement, and maintain platforms that give business users ad‑hoc access to large datasets and visualisation tools.
• Participate in strategic and tactical planning to guide the data engineering team’s work.

Required profile

• 1+ years of data engineering experience.
• Experience with data modelling, warehousing, and building ETL pipelines.
• Proficiency in at least one query language (SQL, PL/SQL, HiveQL, SparkSQL, Scala).
• Proficiency in at least one scripting language (Python, KornShell).
• Familiarity with big‑data technologies (Hadoop, Hive, Spark, EMR) and ETL tools (Informatica, ODI, SSIS, BODI, Datastage) is a plus.

Required skills

• AWS services (Glue, Kinesis, Redshift, Spectrum)
• Apache Spark
• Python
• SQL / HiveQL / SparkSQL / Scala
• Hadoop ecosystem
• EMR
• ETL tools (Informatica, ODI, SSIS, BODI, Datastage)
• Data modelling and data warehousing