Amazon Data Engineer Stores TA 

India, Karnataka, Bengaluru 

97037119

Overview
evolution from Web site to e-commerce partner to development platform is driven byJob Description
help drive our data-powered analytical revolution.
In this role, you will be responsible for designing and developing highly efficient data
pipelines that seamlessly extract, transform, and load data from a diverse array of
sources. You will work closely with our Business Intelligence, Data Science, andquality, actionable insights to support our TA initiatives.
Responsibilities:
Design and develop highly efficient data pipelines that seamlessly extract,
transform, and load data from a diverse array of sources using SQL, Python, and
AWS big data technologies.
Oversee and continuously enhance production operations, optimizing data
delivery, redesigning infrastructure for greater scalability, managing code
deployments, addressing bugs, and coordinating overall release management.
Establish and uphold best practices for the design, development, and support of
data integration solutions, including comprehensive documentation.
high-impact insights.
Demonstrate proficiency in reading, writing, and debugging data processing and
orchestration code in Python/Scala, adhering to the highest coding standards
(e.g., version control, code review, etc.).
Basic qualifications:
Bachelor's degree in Computer Science, Data Science, Engineering, or a related
technical field
Minimum 3-5 years of experience in data engineering or a similar role
Hands-on experience designing, developing, and maintaining data pipelines and
data integration solutions
Proficient in SQL, Python, and AWS big data technologies (e.g., EMR, Glue,
Athena, Redshift)
Strong understanding of data architecture, data modeling, and ETL/ELT
processes
Experience building/operating highly available, distributed systems of data
extraction, ingestion, and processing of large data sets
Experience with version control systems (e.g., Git) and code review best practices
Exposure to building scalable and fault-tolerant data processing systems
Preferred Qualifications:
Advanced experience with cloud-native data engineering tools and platforms
(e.g., Databricks, Snowflake, Kafka, Kinesis)
Proficiency in writing high-performance, scalable, and maintainable code (e.g.,
using design patterns, unit testing, refactoring)
Familiarity with data streaming and real-time data processing frameworks
Exposure to machine learning and artificial intelligence techniques for data-
driven insights
Proven track record of leading data engineering projects from inception to
delivery
Experience in mentoring and training junior data engineers
Demonstrated ability to identify and implement process improvements, optimize
data pipelines, and enhance overall data infrastructuretechnologies, and a willingness to explore new tools and approaches

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL