Data Engineer II, Data Engineer II

Amazon

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

AIS is seeking a highly motivated and passionate Back End Data Engineer who is responsible for designing developing testing and deploying Supply Chain Application and Process this role you will collaborate with business leaders work backwards from customers identify problems propose innovative solutions relentlessly raise standards and have a positive impact on AWS Infrastructure Supply Chain & this you will work closely with a team of Business Intelligence Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools including EC2 Lambda DynamoDB and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.

Key job responsibilities
- Design and develop the pipelines required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL Python and AWS big data technologies.
- Oversee and continually improve production operations including optimizing data delivery re-designing infrastructure for greater scalability code deployments bug fixes and overall release management and coordination.
- Establish and maintain best practices for the design development and support of data integration solutions including documentation.
- Work closely with Product teams Data Scientists Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
- Able to read write and debug data processing and orchestration code written in SQL/Python following best coding standards (e.g. version controlled code reviewed etc.)

About the team
About AWS
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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 theres nothing we cant achieve in the cloud.

- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree in Computer Science or a related field
- Experience in professional non-internship software development or experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems
- Experience in Database like NoSQL or experience that includes strong analytical skills attention to detail and effective communication abilities and experience in SQL Server/MySQL

- Masters degree or above in computer science or other related discipline
- Experience in cloud computing technologies
- Experience with CI/CD pipelines build processes
- Experience communicating with users other technical teams and management to collect requirements describe software product features and technical designs

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

IC

AWS Infrastructure Services (AIS)AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure ou...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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