Data Engineer, Amazon Web Services, AWS Data Platform

Amazon; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Benefits offered by this job

Flexible Work Hours

Health Insurance

Professional Development Programs

Mentorship Opportunities

Employee Discounts

Work-Life Balance Initiatives

Job summary

Join a forward-thinking company as a Data Engineer, where you'll leverage your expertise to shape the future of data management on a global scale. In this dynamic role, you will design and implement scalable solutions to manage vast datasets, enabling data-driven decisions that drive business growth. Collaborate with a diverse team to innovate and improve data processes using cutting-edge AWS technologies. This is an exciting opportunity to work with a leader in cloud computing, where your contributions will directly impact the success of countless businesses worldwide. If you're passionate about data and eager to make a difference, this role is for you!

Qualifications

• 3+ years of experience in data engineering with a focus on ETL and data modeling.
• Expertise in AWS technologies and non-relational databases.

Responsibilities

• Design and manage large datasets across various data platforms.
• Build and maintain ETL pipelines to ingest data into the data lake.

Skills

Data Engineering

ETL Pipeline Development

Data Modeling

Communication Skills

Problem Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

Job description

Data Engineer, Amazon Web Services, AWS Data Platform

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting.

Amazon Web Services is seeking an outstanding Data Engineer to join the AWS Data Lake team. Amazon.com has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.

The AWS Data Platform team's mission is to help customers to see and understand their use of the AWS Cloud. We collect and process billions of usage transactions every day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers.

We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by leveraging relational database technologies like Redshift along with emerging Big Data technologies like Elastic Map Reduce (EMR) to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. The successful candidate will shape and build AWS' data lake and supporting systems for years to come.

You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and communication skills to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake. Above all, be passionate about working with vast data sets and someone who loves to bring datasets together to answer business questions and drive growth.

About the team

About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

- 3+ years of data engineering 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)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.