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Data Engineer, Flex Analytics

Amazon · Hyderabad

🇬🇧 English
Python Spark AWS Glue Kinesis Redshift Spectrum Cradle DataCraft SQL PL/SQL DDL MDX HiveQL SparkSQL Scala KornShell Hadoop Hive EMR Informatica ODI SSIS BODI Datastage

Job description

About the role

Join the Amazon Flex Analytics team to build and support the global business intelligence platform that powers Amazon Flex worldwide. You will help shape driver behavior insights and satisfaction by designing scalable data solutions.

Key responsibilities

  • Create and maintain data pipelines using AWS services such as Spark, Cradle, DataCraft, Glue, Kinesis, Redshift, and Spectrum.
  • Develop and improve data architecture, ensuring high data quality, monitoring, and availability.
  • Collaborate with BI Engineers to enhance reporting, analysis processes and enable self‑service data access for non‑technical users.
  • Design, implement, and support platforms that provide ad‑hoc access to large datasets, including data visualization tools.
  • Participate in strategic and tactical planning to drive the data engineering team’s roadmap.

Required profile

  • 1+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Proficiency in at least one query language (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
  • Proficiency in at least one scripting language (Python, KornShell).

Required skills

  • Python
  • R
  • Spark
  • AWS (Glue, Kinesis, Redshift, Spectrum)
  • Cradle
  • DataCraft
  • SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala
  • KornShell
  • Hadoop
  • Hive
  • EMR
  • Informatica
  • ODI
  • SSIS
  • BODI
  • Datastage

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Published 1 week ago

Expires 1 month from now

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Amazon

Hyderabad