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

Amazon Inc.; Bengaluru; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

Amazon Inc. in Bengaluru is seeking a data engineer to design, build and operate an analytical data platform powering BI and ML applications.

You will manage AWS resources, implement ETL pipelines using SQL, collaborate with scientists, product managers and analysts to ensure data integrity and scalable analytics.

3+ years of data engineering experience and expertise in data modeling, warehousing and AWS technologies are required.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.

Responsibilities

• Design, implement and support an analytical data infrastructure serving BI and ML applications.
• Manage AWS resources including EC2, Redshift, EMR-Spark etc.
• Collaborate with applied scientists to build data pipelines for ML models.
• Collaborate with Product Managers, Financial and Business analysts to ensure data integrity and reporting.
• Extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
• Explore AWS technologies to provide new capabilities and increase efficiency.
• Collaborate with tech teams to implement analytics algorithms for prediction, clustering and ML.
• Automate reporting and self-service analytics for customers.

Skills

SQL

Data modeling

ETL pipelines

AWS

Tools

Redshift

S3

EMR

Glue

Kinesis

Lambda

IAM

Job 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.

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.