Data Engineer – AFT BI Content
Amazon Dev Center India
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Job Description
Amazon is hiring a Data Engineer – AFT BI Content in Hyderabad to build and maintain analytical data infrastructure supporting Amazon Fulfillment Technologies (AFT). The team processes large volumes of fulfillment center data from robotics, labor activity and shipment tracking systems to create reliable datasets used for productivity measurement, capacity planning and operational decision-making.
As a Data Engineer, you will develop and maintain ETL/ELT pipelines, transform operational data into analytical datasets and work with technologies such as Amazon Redshift, Spark/EMR and Amazon's internal data catalog. You will collaborate with Business Intelligence Engineers and data scientists to understand data requirements and deliver scalable data solutions.
Key Responsibilities:
- Build and maintain ETL/ELT pipelines that process fulfillment center operational data.
- Write and optimize SQL for complex analytical transformations using Redshift and Spark.
- Monitor data quality and respond to data pipeline incidents.
- Implement data models using established patterns such as star schema and additive models.
- Collaborate with Business Intelligence Engineers and scientists to understand data requirements.
- Document data pipelines, schemas and data lineage for team knowledge sharing.
- Support existing data infrastructure and assist with migrations to newer platforms.
- Monitor pipeline health and troubleshoot overnight or production failures.
- Participate in code reviews and on-call rotations.
- Work with business stakeholders to understand data requirements and analytical needs.
Basic Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related field.
- 1+ years of data engineering experience.
- Experience with data modeling, data warehousing and ETL pipeline development.
- Experience with at least one scripting language such as Python, KornShell or Scala.
- Experience with databases, data warehouses or data lake solutions.
Preferred Qualifications:
- Experience with AWS technologies such as Amazon Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda and IAM.
- Experience with big data technologies such as Hadoop, Hive, Spark or EMR.
- Experience with data visualization tools such as AWS QuickSight or Tableau.
This Amazon Data Engineer role is suitable for professionals looking for Data Engineer jobs in Hyderabad, Amazon Data Engineering jobs, ETL Developer jobs, AWS Data Engineer jobs, SQL Data Engineer jobs and Big Data Engineer opportunities.
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