招聘
Data Engineer II, ITA - Workforce Intelligence, Core Data Acquisition, Core Data Acquisition

Data Engineer II, ITA - Workforce Intelligence, Core Data Acquisition, Core Data Acquisition
Bengaluru, KA, IND
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Professional development budget
•Parental leave
•Team events and activities
•Competitive salary and equity package
•401(k) matching
•Learning
•Parental Leave
•Equity
Required Skills
Node.js
PostgreSQL
JavaScript
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.
Key job responsibilities
Develop and maintain end to end scalable data infrastructure and data pipelines
Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data.
Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity. along with fostering a culture of self-reliance.
A day in the life
As a Data Engineer with ITA, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data. In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low cost environment to flow information from the source systems to data warehouse into end-user facing reporting applications such as Tableau or AWS Quick Sight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making.
About the team
ITA-Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA’s success, creating pathways to information upon which all of the organization’s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, Korn Shell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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