Job Title: Data Warehouse Engineer
Location: San Luis Obispo, Irvine, San Diego, San Francisco, CA & Remote
Also…
Duration: Contract
Client: Tech Mahindra
Job Description:
MINDBODY’s Data Science department makes sense of our data world
through meaningful and actionable insights, identifying trends,
delivering reports, informing product and infrastructure advancements,
and promoting a culture of data-driven decision making.
The Data Engineering (DE) branch of MINDBODY’s Data Science department
is focused on providing innovative and large-scale data platform
solutions in a shared services model to support enterprise data needs of
MindBody.
This involves building data pipelines to pull together information from
different source systems; integrating, consolidating and cleansing
data; and structuring it for use in reporting and analytical
applications. This team also architects distributed systems, data
stores, and collaborates with data science teams in building right
solutions for them. The data provided by DE team is used by data
science team in supporting key functions and initiatives within Product
Development, Business Development, Customer Experience/Success, Marketing and
Sales at MindBody.
Data Engineer III focuses on designing, implementing and supporting new
and existing data solutions- data processing, and data sets to support
various advanced analytical needs. you will be designing, building and
supporting data pipelines consuming data from multiple different source
systems and transforming it into valuable and insightful information.
You will have the opportunity to contribute to end-to-end platform
design for our cloud architecture and work multi-functionally with
operations, data science and the business segments to build batch and
real-time data solutions. The role will be part of a team supporting
our Corporate, Sales, Marketing, and Consumer business lines.
MINIMUM QUALIFICATIONS AND REQUIREMENTS:
7+ years of relevant experience in one of the following areas: Data
engineering, business intelligence or business analytics
5-7 years of supporting a large data platform and data pipelining
5+ years of experience in scripting languages like Python etc.
5+ years of experience with AWS services including S3, Redshift, EMR,
5+ years of experience with Big Data Technologies (Hadoop, Hive, HBase,
Pig, Spark, etc.)
Expertise in database design and architectural principles and
methodologies Experienced in Physical data modeling Experienced in
Logical data modeling Technical expertise should include data models,
database design and data mining
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Design, implement, and support a platform providing access to large
datasets Create unified enterprise data models for analytics and
reporting Design and build robust and scalable data integration (ETL)
pipelines using SQL, Python, and Spark.
As part of an Agile development team contribute to architecture, tools
and development process improvements Work in close collaboration with
product management, peer system, and software engineering teams to
larify requirements and translate them into robust, scalable, operable
solutions that work well within the overall data architecture
Coordinate data models, data dictionaries, and other database
documentation across multiple applications Leads design reviews of data
deliverables such as models, data flows, and data quality assessments
Promotes data modeling standardization, defines and drives adoption of
the standards Work with Data Management to establish governance
processes around metadata to ensure an integrated definition of data
for enterprise information, and to ensure the accuracy, validity, and
reusability of metadata
Reference : Data Warehouse Engineer jobs
Source: http://jobrealtime.com/jobs/technology/data-warehouse-engineer_i2861
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