Data Engineer, WFM Data and Analytics Tech Applications – Job ID: 2277218 | ADCI – Karnataka – IN, KA, Bangalore

Amazon

  • Full Time

DESCRIPTION

Job summary
The Whole Foods Market (WFM) Data and Analytics Tech Applications Team (DATA) is seeking a Data Engineer (DE) who can work on small to medium, cross-functional strategic initiatives that support WFM strategic goals. This is a unique opportunity for someone inspired by WFM core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.

Key job responsibilities
WholeFoods DATA team is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will be a key member of a Data team at WholeFoods Market based in Austin,TX. Working closely with business stakeholders, software development engineers, and Data scientists, you will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations.

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

PREFERRED QUALIFICATIONS

3+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda)
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Excellent interpersonal, written and oral communication skills
Natural curiosity and desire to learn.

Job Overview