Data Engineer, ShipTech Analytics
Join the ShipTech Analytics team at Amazon to build the data backbone for global transportation networks. You will design and implement scalable streaming and batch pipelines using AWS cloud technologies. The role involves close collaboration with operations and analytics teams to create data tools and automate operational tasks. You will own the full data lifecycle, from ingestion to vending, ensuring high-quality insights.
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Experience
1+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 1
What you will work on
Join the ShipTech Analytics team at Amazon to build the data backbone for global transportation networks. You will design and implement scalable streaming and batch pipelines using AWS cloud technologies. The role involves close collaboration with operations and analytics teams to create data tools and automate operational tasks. You will own the full data lifecycle, from ingestion to vending, ensuring high-quality insights.
TAL's take
Tier 1 company with a clearly defined data engineering role in a core logistics infrastructure team.
The JD is extremely well-structured, clearly outlining responsibilities, daily workflow, and tech requirements for the Data Engineer role.
Salaries at Amazon
25.8 LPA average
Based on 3,341 Grapevine salary entries for Amazon.
Engineering
0 - 2 years | L3
16 LPA average
Range: 2 - 32 LPA
Engineering
2 - 4 years | L4
26 LPA average
Range: 0 - 100 LPA
Engineering
4 - 6 years | L5
33 LPA average
Range: 2 - 66 LPA
Engineering
6 - 8 years | L4
43 LPA average
Range: 5 - 91 LPA
Must haves
- 1+ years of data engineering experience
- Proficiency with SQL
- Experience with data modeling and warehousing
- Experience building ETL pipelines
- Experience with a scripting language like Python, KornShell, or Scala
Tools and skills
Nice to have: hadoop, hive, spark, emr, redshift, s3, aws glue, kinesis, firehose, lambda, iam.
About the company
Amazon is a global FAANG company with a strong engineering brand.
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