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- Tasks: Join us as a Data Engineer to optimise data processes and drive impactful business decisions.
- Company: Amazon India is a leading e-commerce platform, dedicated to innovation and customer satisfaction.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be at the intersection of tech and business, making a real difference in a fast-paced environment.
- Qualifications: 3+ years in data engineering, with skills in SQL and data modelling; AWS experience preferred.
- Other info: We value diversity and provide accommodations for applicants with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
Amazon IN Platform Development team is looking to hire a rock star Data/BI Engineer to build for pan Amazon India businesses.
Amazon India is at the core of hustle @ Amazon WW today and the team is charted with democratizing data access for the entire marketplace & add productivity. That translates to owning the processing of every Amazon India transaction, for which the team is organized to have dedicated business owners & processes for each focus area. The BI Engineer will play a key role in contributing to the success of each focus area, by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. He / She will build deliverables like business process automation, payment behavior analysis, campaign analysis, fingertip metrics, failure prediction etc. that provide edge to business decision making AND can scale with growth. The role sits in the sweet spot between technology and business worlds AND provides opportunity for growth, high business impact and working with seasoned business leaders.
An ideal candidate will be someone with sound technical background in data domain – storage / processing / analytics, has solid business acumen and a strong automation / solution oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive & devise best possible solution. Is a great communicator and at ease on partnering with business owners and other internal / external teams. Can explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight & business impact / end result and ‘gets it done’ in business time.
Key job responsibilities
– Design, implement and support an data infrastructure for analytics needs of large organization
– 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
– Be enthusiastic about building deep domain knowledge about Amazon’s business.
– Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
– Enjoy working closely with your peers in a group of very smart and talented engineers.
– Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
– Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
About the team
India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective, easy & timely access to high quality data. We achieve this by building UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure, ready to use datasets and self-service reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dashboarding d) empowering business with self-service tools for deep dives & insights seeking.
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.
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Data Engineer, IN Data Engineering & Analytics employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, IN Data Engineering & Analytics
✨Tip Number 1
Familiarise yourself with AWS technologies mentioned in the job description, such as Redshift and S3. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Amazon, especially those in data engineering roles. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive business decisions in your previous roles. Highlighting your ability to partner with business owners will demonstrate your fit for the role.
✨Tip Number 4
Stay updated on the latest trends in data engineering and analytics. Being able to discuss recent advancements or tools in the field during your interview can show your passion and commitment to continuous learning.
We think you need these skills to ace Data Engineer, IN Data Engineering & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL and AWS technologies. Use specific examples of projects where you've built ETL pipelines or worked with data modelling.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job requirements, especially your ability to partner with business owners and your problem-solving approach.
Showcase Communication Skills: Since strong verbal and written communication skills are essential for this role, consider including examples in your application that demonstrate your ability to communicate complex data insights effectively.
Highlight Continuous Learning: Mention any recent courses or certifications related to AWS technologies or data analytics. This shows your commitment to staying updated with the latest tools and practices in the field.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Skills
Make sure to highlight your experience with data engineering, especially your proficiency in SQL and any AWS technologies you've worked with. Be prepared to discuss specific projects where you built ETL pipelines or worked with data modelling.
✨Demonstrate Business Acumen
Since the role requires a strong understanding of business processes, come prepared with examples of how you've used data to drive business decisions. Discuss any experiences where your insights led to improvements or optimisations.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you'll need to partner with business owners. Be ready to discuss how you’ve collaborated with cross-functional teams in the past.
✨Emphasise Your Problem-Solving Skills
The ideal candidate is a self-starter who can tackle business problems head-on. Prepare to share examples of challenges you've faced in previous roles and how you approached finding solutions, particularly in fast-paced environments.
