Data Engineer – MIDAS Analytics, Digital Acceleration

About this job

Amazon is hiring a Data Engineer in Chennai for the MIDAS team in its Digital Acceleration organisation. MIDAS builds data and analytics tools used by more than 100 Amazon teams and about 20,000 people a month.

You will build core datasets on orders, subscriptions, pricing, promotions and royalties for Amazon's digital businesses. The work uses AWS services such as Redshift, Kinesis, EMR and Lambda along with internal tools. The role is based in the office.

Eligibility

• 1+ years of data engineering experience
• Data modelling, warehousing and ETL pipeline building
• A query language such as SQL, HiveQL or SparkSQL
• A scripting language such as Python or shell
• Big data tools (Hadoop, Hive, Spark, EMR) or ETL tools are a plus

Skills required

What you will do

• Build data pipelines and data products on AWS
• Improve the scale, quality and cost of existing pipelines
• Work with engineers, BI engineers and scientists on shared datasets
• Handle structured and text-based data
• Automate routine operations to cut manual work

How to apply

• Open the official Amazon job page with the Apply button and submit your application there.
• Tailor your resume to ETL pipelines you built, the data volumes they moved and how you kept data quality high.

Before the interview, prepare:

• SQL: window functions, joins and query tuning on large tables
• Data modelling: star schema, fact and dimension tables
• Redshift: distribution keys, sort keys and vacuum
• Spark basics: partitions, shuffles and handling skew

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Posted 11 Nov 2026 · Last checked 13 Nov 2026 · Official source