Amazon Recruitment 2022 – Amazon Careers – Data Engineer Posts

The ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy. They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.

A day in the life
The ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy. They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.

About the team
We enable sophisticated, fact-based decision making across WFM by delivering constantly evolving technology and analytic capabilities. Everyone on the team needs to be entrepreneurial, take on multiple roles, and work in a highly collaborative environment. This team will tackle challenging and novel situations every day and will have the opportunity to redefine the grocery industry while working with different teams across WFM and Amazon. You will be able to contribute and enjoy the wonderful blend of WFM and Amazon Tech Culture. You will be based out of Bengaluru, India, one of the best places to live and work. Most importantly, you’ll be contributing to WFM’s Higher Purpose of Nourishing People and the Planet!
Key job responsibilities

BASIC QUALIFICATIONS

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
Industry experience in Data Engineering, BI Engineer, or related field.
Track record of data management fundamentals and data storage principles.
Strong understanding of ETL concepts and experience building them with small-scale and complex datasets
Experience in working in small-medium Data Warehouses and in writing & optimizing SQL working with medium data volumes
Experience with AWS technologies stack including Redshift, RDS, S3, Lambda, RDS, EMR or similar solutions build around Hive/Spark etc
Demonstrated strength in data modeling, ETL development, and data warehousing Knowledge of distributed systems as it pertains to data storage and computing.
Strong analytical and problem solving skills
Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment