Living Goods (LG) seeks to improve the lives of tens of
millions of underserved customers by revolutionizing the way community health
is delivered in the developing world. To do this, Living Goods not only
grows its own business operations, but also dramatically magnifies its impact
through large-scale partnerships. Living Goods supports networks of
‘Avon-like’ micro-entrepreneurs who go door-to-door teaching families how to
improve their health and wealth while selling affordable, high-impact products
like basic medicines, fortified foods, water filters, clean cook stoves, and
solar lights.

Job Summary: The exceptionally qualified Data Engineering
Developer will help us model, organize, transform, validate, secure, and
catalog this personal health data, supplemented with public data and data from
our partners. Putting this data in the right form, with the right tools, is
essential to our ability to grow and improve, and ultimately to serve our
clients. You’ll be a good fit if you can handle all aspects of data
engineering, from establishing data pipelines to supporting visualization
technologies for analysts.

Key Duties and Responsibilities:

Design and administer our
database environment, which includes SQL Server, PostgreSQL, MySQL, and
CouchDB. Configure database instances, recommend physical data models, and
optimize for performance.
Manage our data pipelines,
ensuring that the right data lands in the right place at the right time.
Create and monitor systems for data transformation and validation.
Work closely with our data
analysts, software developers, operations teams, and partners, who are the
producers and consumers of data. Help them choose the right data and
deliver systems to support them.
Write technical
documentation, including data catalogs, standards, and procedures.

Qualifications, Skills and Experience:

The ideal candidate for
the Living Goods Data Engineering Developer job placement should hold a Bachelor’s
Degree in a related field from a top academic program, or equivalent
experience.
Three or more years of
professional software development experience, preferably in Python.
Previous experience using
and administering relational and non-relational database platforms, and
mastery of at least one (preferably SQL Server).
Strong analytic skills,
especially related to reasoning about data sets. Preferably a successful
history of extracting value from disconnected data sets.
Knowledge of data
visualization technologies and platforms.
Great English
communication skills.

Compensation: A
competitive salary and benefits package commensurate with experience including
health insurance, vacation, and a bonus opportunity. The opportunity to enter
an exciting career path within a fast and growing mission driven team.

NB: Please note that only candidates
meeting the minimum qualifications will be considered.

How to Apply:

All suitably qualified and interested candidates are
strongly encouraged to apply online at the web link below.

Opens the employer’s application pageApply Now →

Deadline: 6^th
July 2018

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