Data Engineer II

ADCI HYD 13 SEZ, Hyderabad, Telangana, IND

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The role

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!

What you will do

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
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)
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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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