Data Engineer, AMZL Orbit Data Engineering

Amazon • Nashville, TN

1d

About The Position

Do you want to be in the forefront of engineering big data solutions that takes
Transportation models to the next generation? Do you have a solid analytical
thinking, metrics driven decision making and want to solve problems with
solutions that will meet the growing worldwide need? We are looking for top
notch Data Engineers to be part of our world class Transportation Business
Intelligence team. We are building real time analytical platforms using big data
tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis
Firehose, DynamoDB Streams.

The ideal candidate relishes working with large volumes of data, enjoys the
challenge of highly complex technical contexts, and, above all else, is
passionate about data and analytics. An expert with data modeling, ETL design
and business intelligence tools and passionately partners with the business to
identify strategic opportunities where improvements in data infrastructure
creates out-sized business impact. The ideal candidate is self-starter,
comfortable with ambiguity, able to think big (while paying careful attention to
detail), and enjoys working in a fast-paced and global team. It's a big ask, and
we're excited to talk to those up to the challenge!

Requirements

• 1+ years of data engineering experience
• 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)

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed