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

Amazon; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Amazon is recruiting a Data Engineer in Bengaluru to design and operate an analytical data platform supporting BI and machine learning workloads. You will manage AWS resources and collaborate with scientists to build pipelines for models and analytics.

You will interface with product managers and analysts to uphold data integrity, reporting standards, and comprehensive documentation, while exploring new AWS technologies to enhance capabilities.

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.
• Interface with Product Managers and Analysts to ensure data integrity, testing, analysis and documentation.
• Extract, transform, and load data from diverse sources using SQL and AWS big data technologies.

Skills

3+ years data engineering

Data modeling

ETL pipelines

SQL

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

Kinesis

IAM roles & permissions

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)

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