Data Engineer II

Amazon Inc.; Hyderabad; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Amazon ShipTech Analytics is seeking a smart data engineer to support analytics tools and data processing for the Amazon transportation business. You will work in a multi-functional BI and data engineering team focused on AMXL and growth delivery programs.

You will build end-to-end data pipelines, model data, and implement automated data quality controls. The role requires 3+ years of data engineering and SQL experience, plus proficiency in Python/Java/Scala/NodeJS and big data technologies such

Qualifications

• Bachelor's degree in a relevant field.
• 3+ years of data engineering experience.
• 3+ years of SQL experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS).
• Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
• Experience with non-relational databases / data stores.

Responsibilities

• Build end-to-end data pipelines to ingest and transform data from multiple sources.
• Create datasets for analytics, reporting and ML use cases.
• Evaluate and implement big-data technologies to optimize processing of large datasets.
• Understand business processes and data models; analyze relational databases.
• Write high performing SQL queries.
• Conduct research projects and derive practical results and recommendations.
• Design and implement automated data processing solutions and data quality controls.

Skills

Data engineering

SQL

ETL design

Python/Java/Scala/NodeJS

Data modeling

Big data technologies

Education

Bachelor's degree

Master's degree (preferred)

Tools

AWS (Redshift, S3, Glue, EMR)

Kinesis / Firehose / Lambda

Hive / Spark

IAM roles & permissions

Job description

The Amazon ShipTech Analytics organization is looking for a smart and ambitious individual to support the development of analytical tools and data processing solutions for the Amazon transportation business. This role will work within a multi-functional BI and data engineering team with a focus on AMXL (Amazon Extra Large) and other rapidly growing delivery programs where Amazon is innovating to find new ways to deliver to our customers.

The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact. The candidate should be a self-starter; comfortable with ambiguity, able to think big, and enjoy working in a fast-paced and global team. It’s a big ask, and we’re excited to talk to those up to the challenge!

Key job responsibilities

• Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams
• Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
• Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
• Understand and analyze business processes, logical data models and relational database implementations
• Write high performing and optimized SQL queries
• Execute research projects, and generate practical results and recommendations
• Design and implement automated data processing solutions and data quality controls

Basic Qualifications

• - Bachelor's degree
• - 3+ years of data engineering experience
• - 3+ years of SQL experience
• - Experience with data modeling, warehousing and building ETL pipelines
• - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Preferred Qualifications

• - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• - 5+ years of data engineering experience
• - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

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Posted: October 9, 2026 (Updated 15 days ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.