Data Engineer
Amazon · Bengaluru, Karnataka, India
- On site
- Full-time
- $120,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Design and implement data pipelines and BI solutions.
- Manage AWS resources for data processing.
- Build data architecture for business needs.
- Extract, transform, and load data.
- Automate and simplify data reporting processes.
About the role
About Amazon
We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world. We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
About The Role
We are looking for a creative, dynamic and motivated Data Engineer to join the Trustworthy Shopping Experience(TSE) Operations team. The mission of this team is to protect Customer trust on Amazon’s stores world wide by using statistical analysis.
The ideal candidate thrives in working with large and complex data warehouse environments and has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems using very large data sets. The candidate is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analysis and solutions will be fundamental to finding opportunities and creating new programs aimed at helping arrest abusive / bad actors on amazon platform faster.
He/she will have a unique opportunity to closely partner with senior leaders and product, science, technology and operations teams across the organization driving programs that are critical to protecting our Buyers and genuine Sellers from bad actors. He/she will also play a critical role in influencing and shaping organization's strategy and product roadmap.
Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- 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, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Key skills/competency
- Data Engineering
- AWS
- SQL
- ETL
- Data Modeling
- Data Warehousing
- Python
- Big Data Technologies
- Apache Airflow
- Business Intelligence
Skills & topics
- Data Engineer
- Amazon
- AWS
- SQL
- ETL
- Data Modeling
- Data Warehousing
- Python
- Big Data
- Apache Airflow
- BI
- Karnataka
How to get hired
- Tailor your resume: Highlight your data engineering experience, SQL proficiency, and ETL pipeline development skills. Quantify achievements with numbers.
- Showcase AWS and Big Data skills: Emphasize experience with AWS services (EC2, Redshift, Glue) and big data technologies (Spark, Hadoop).
- Prepare for technical interviews: Brush up on SQL, data modeling, data warehousing concepts, and Python scripting for data manipulation.
- Demonstrate problem-solving: Be ready to discuss complex analytical problems you've solved using large datasets and your approach to protecting customer trust.
- Understand Amazon's culture: Research Amazon's customer-centric approach and the mission of the Trustworthy Shopping Experience team.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Engineer at Amazon's Trustworthy Shopping Experience team?
- As a Data Engineer at Amazon's Trustworthy Shopping Experience team, you will be responsible for designing and implementing data pipelines and BI solutions, managing AWS resources, building data architecture to support various business needs, and automating reporting processes to protect customer trust.
- What technical skills are essential for the Data Engineer role at Amazon?
- Essential technical skills include 1+ years of data engineering experience, proficiency in SQL, experience with data modeling, warehousing, and ETL pipelines, knowledge of query languages like SparkSQL, and scripting languages such as Python.
- What are the preferred qualifications for this Data Engineer position at Amazon?
- Preferred qualifications include experience with big data technologies such as Hadoop, Hive, and Spark, which will be beneficial for handling large and complex datasets.
- How does Amazon's Data Engineer role contribute to customer trust?
- This Data Engineer role directly contributes to customer trust by developing solutions that help identify and mitigate abusive or bad actors on the Amazon platform, thereby protecting buyers and genuine sellers.
- What kind of data environment can I expect as a Data Engineer at Amazon?
- You can expect to work with large and complex data warehouse environments, leveraging AWS services and big data technologies to process and analyze vast amounts of data.
- What AWS services are commonly used in this Data Engineer role at Amazon?
- Commonly used AWS services include EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, and Apache Airflow for managing and processing data.
- Is this a remote or on-site Data Engineer position at Amazon?
- The job description does not explicitly state the work arrangement. However, given the description of operations and teams across multiple locations, it is likely to be either on-site or hybrid, with specific details available upon further inquiry.
- What opportunities are there for career growth as a Data Engineer at Amazon?
- This role offers unique opportunities to partner with senior leaders and various cross-functional teams, influencing strategy and product roadmaps, which can lead to significant career growth within Amazon.