Amazon is recruiting for a Data Engineer

Short Description:

The Data Engineer role at Amazon India's IN Data Engineering & Analytics (IDEA) team involves building and managing analytics solutions for Amazon India's extensive data infrastructure. Candidates should have at least 1+ years of experience in data engineering, proficiency in SQL, and familiarity with scripting languages like Python. Responsibilities include designing data solutions, ensuring data quality and compliance, and collaborating with other technology teams. Preferred qualifications include experience with big data technologies, ETL tools, and knowledge of AWS infrastructure. Overall, the role offers an opportunity to contribute to Amazon's data-driven decision-making processes and drive impactful changes within the Indian marketplace.

Position: Data Engineer
Company: Amazon
Location: India, Karnataka, Bengaluru
Job type: Full time
Job mode: Hybrid
Job ID: 2602744

Introduction to the Role

The Data Engineer position within the IN Data Engineering & Analytics (IDEA) team at Amazon India is a pivotal role aimed at managing extensive data infrastructure and crafting advanced analytics solutions. This job entails working with petabyte-scale data, building ETL pipelines, and ensuring the efficiency and scalability of data operations.

Basic Qualifications

To be considered for this role, candidates must meet the following basic qualifications:

Possess at least 1+ years of experience in data engineering.
Proficiency in SQL for data manipulation.
Hands-on experience in data modeling, warehousing, and developing ETL pipelines.
Familiarity with scripting languages such as Python or KornShell.
Exposure to data visualization tools like AWS QuickSight or Tableau.

Job Description

Overview of IN Data Engineering & Analytics (IDEA) Team

The IN Data Engineering & Analytics (IDEA) team serves as the central hub for all data engineering and analytics endeavors across Amazon India businesses. This team's responsibilities encompass providing Unified Data and Analytics Infrastructure (UDAI), catering to various business streams like Payments, Finance, Consumer, and Delivery Experience.

Responsibilities of a Data Engineer

As a Data Engineer, your primary responsibilities will include:

Designing and Implementing Data Solutions: Crafting data and analytics solutions to cater to the unique requirements of Amazon India. This involves managing massive data infrastructure and ensuring scalability to meet evolving analytics needs.
Ensuring Data Quality and Compliance: Implementing solutions that adhere to the Best At Amazon (BAA) standards for data availability, consistency, and compliance.
Collaboration and Interface: Working closely with other technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
Driving Operational Excellence: Fostering a culture of operational excellence within the team by building automation and mechanisms to streamline operations.
Facilitating Data Exploration: Enabling efficient data exploration and experimentation on large datasets while implementing robust data access control mechanisms.
Scalable Infrastructure Development: Designing and implementing scalable and cost-effective data and analytics infrastructure to support not only India but also other emerging marketplaces and worldwide use cases.
Communication and Collaboration: Possessing strong verbal and written communication skills to effectively collaborate with peers and stakeholders, delivering high-quality results in a fast-paced environment.

Day-to-Day Activities

A typical day in the life of an Amazon India Data Engineer involves:

Working within the IDEA team to simplify and accelerate data-driven decision-making processes.
Contributing to the Unified Data & Analytics Infrastructure (UDAI) by developing data engineering infrastructure, ready-to-use datasets, and self-service reporting capabilities.
Engaging in tasks such as data ingestion, storage, processing, querying, and automation of standard business analysis and reporting.

Preferred Qualifications

While the basic qualifications are essential, candidates with the following additional qualifications will be preferred:

Experience with big data technologies such as Hadoop, Hive, Spark, and EMR.
Proficiency in ETL tools like Informatica, ODI, SSIS, BODI, or Datastage.
Knowledge of AWS infrastructure, further enhancing the candidate's suitability for the role.

The Data Engineer role at Amazon India's IN Data Engineering & Analytics (IDEA) team offers an exciting opportunity to work on cutting-edge analytics solutions and manage massive data infrastructure. By leveraging one's technical expertise and collaborating with a team of highly skilled professionals, this role enables individuals to drive impactful changes and contribute to Amazon's success in the Indian marketplace.

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