Data Engineer - Amazon Flex, Flex Analytics

Amazon; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

ADCI HYD 13 SEZ in Hyderabad is seeking a Data Engineer to build and maintain the global data platform powering Amazon Flex analytics. You will design and optimize data pipelines, models and warehouse structures, enabling scalable reporting and self-serve analytics for business teams.

The role emphasizes collaboration with BI engineers and data architecture improvements, with exposure to AWS services such as Redshift, Glue and Kinesis. Join a fast-paced team in a dynamic environment.

Qualifications

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

Responsibilities

• Create and support data pipelines built on Amazon and AWS technologies including Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum
• Develop and improve the current data architecture, data quality, monitoring and data availability
• Collaborate with BI Engineers to continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (ex. data visualization tools for non-tech business users)
• Participate in strategic and tactical planning discussions that drive the DE team’s work

Skills

Data engineering

SQL proficiency

Data pipeline design

Tools

Spark

Redshift

S3

Glue

Kinesis

Cradle

DataCraft

EMR

Firehose

Lambda

IAM

Job description

Description

Interested in the gig economy? Come be a part of it. The Amazon Flex Analytics Team is building the global business intelligence platform that powers Amazon Flex worldwide. We’re working hard, having fun, and making history!

Description

Interested in the gig economy? Come be a part of it. The Amazon Flex Analytics Team is building the global business intelligence platform that powers Amazon Flex worldwide. We’re working hard, having fun, and making history!

Responsibilities

• Create and support data pipelines built on Amazon and AWS technologies including Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum
• Develop and improve the current data architecture, data quality, monitoring and data availability
• Collaborate with BI Engineers to continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (ex. data visualization tools for non-tech business users)
• Participate in strategic and tactical planning discussions that drive the DE team’s work

Basic Qualifications

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

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.

Company

ADCI HYD 13 SEZ

Job ID: A10466008