We are looking for a "data engineer" for our team meaning someone who can
work with business sales and usage data and create reports, re-orgainize
and re-architect data storage and mine data for new insights.
My perspective is we mainly want someone proficient at SQL maintain
standard reports as well as to mine data to gain new insights. Part of the
mandate will be looking at how data is stored and changing and optimizing
it which could mean moving data from one system to another - AWS RDS has
systems on Oracle, SQL Server, Postgres, MySQL, Redshift (data warehouse),
Dynamo (Key value) and EMR (hadoop).
The team is the RDS product management team so it would also give you
insight into business direction and strategy in AWS RDS and allow you to
grow into product strategy if that was of interest.
Feel free to email me directly for more info or to send your info.
This would be based in Seattle.
Best
Kyle Hailey
*External job description:*
Amazon Relational Database Service (Amazon RDS) is an industry leading web
service that makes it easy to set up, operate, and scale a relational
database in the cloud using any of the leading database engines – MySQL,
MariaDB, PostgreSQL, SQL Server and Oracle, as well as Amazon’s own
MySQL-compatible database engine, Aurora. We are looking for a for a
seasoned and talented data engineer to join the team in our Seattle
Headquarters. More information on Amazon RDS is available at
http://aws.amazon.com/rds.
The data engineer must be passionate about data and the insights that large
amounts of data can provide and has the ability to contribute major novel
innovations for our team. The role will focus on working with a team of
product and program managers, engineering leaders and business leaders to
build pipelines and data analysis tools to help the organization run it’s
business better. The role will focus on business insights, deep data and
trend analysis, operational monitoring and metrics as well as new ideas we
haven’t had yet (but you’ll help us have!). The ideal candidate will
possess both a data engineering background and a strong business acumen
that enables him/her to think strategically and add value to help us
improve the RDS customer experience. He/she will experience a wide range of
problem solving situations, strategic to real-time, requiring extensive use
of data collection and analysis techniques such as data mining and machine
learning. In addition, the data engineering role will act as a foundation
for the business intelligence team and be forward facing to all levels
within the organization.
· Develop and improve the current data architecture for RDS
· Drive insights into how our customers use RDS, how successful they are,
where our revenue trends are going up or down, how we are helping customers
have a remarkable experience, etc.
· Improve upon the data ingestion models, ETLs, and alarming to maintain
data integrity and data availability.
· Keep up to date with advances in big data technologies and run pilots to
design the data architecture to scale with the increased data sets of RDS.
· Partner with BAs across teams such as product management, operations,
sales, marketing and engineering to build and verify hypotheses.
· Manage and report via dashboards and papers the results of daily, weekly,
and monthly reporting
*Basic Qualifications*
· Bachelor's Degree in Computer Science or a related technical field.
· 6+ years of experience developing data management systems, tools and
architectures using SQL, databases, Redshift and/or other distributed
computing systems.
· Familiarity with new advances in the data engineering space such as EMR
and NoSQL technologies like Dynamo DB.
· Experience designing and operating very large Data Warehouses.
· Demonstrated strong data modelling skills in areas such as data mining
and machine learning.
· Proficient in Oracle, Linux, and programming languages such as R, Python,
Ruby or Java.
· Skilled in presenting findings, metrics and business information to a
broad audience consisting of multiple disciplines and all levels or the
organizations.
· Track record for quickly learning new technologies.
· Solid experience in at least one business intelligence reporting tool,
e.g. Tableau.
· An ability to work in a fast-paced environment where continuous
innovation is occurring and ambiguity is the norm.
*Preferred Qualification*
· Master’s degree in Information Systems or a related field.
· Capable of investigating, familiarizing and mastering new datasets
quickly.
· Knowledge of a programming or scripting language (R, Python, Ruby, or
JavaScript).
· Experience with MPP databases such as Greenplum, Vertica, or Redshift
· Experience with Java and Map Reduce frameworks such as Hive/Hadoop.
· 1+ years of experience managing an Analytic or Data Engineering team.
· Strong organizational and multitasking skills with ability to balance
competing priorities.
