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Amazon

Data Engineer - II (FTC), DAVENGERS(Data Avengers)

Amazon Bengaluru, Karnataka, India

Software Development · 10,001+ employees

Sep 02
data-engineer Mid (2-5 yrs) Full-time Contractor India
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About the role

Design and implement analytical data infrastructure to support business intelligence and machine learning applications. Collaborate with cross-functional teams to build data pipelines and integrate advanced analytics algorithms.

What they look for

Data Engineering SQL AWS Redshift ETL Data Modeling Data Warehousing Spark EMR Machine Learning Data Pipelines Python Big Data Analytical Infrastructure Cloud Computing

Requirements

Requires at least 3 years of data engineering experience with proficiency in SQL and data modeling. Experience with AWS big data technologies and building ETL pipelines is essential.

Full description

As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications

- Managing AWS resources including EC2,Redshift,EMR-Spark etc - Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE - Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL

Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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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