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Job Description:

E. & J. Gallo Winery Privacy Policy

Why Gallo?

With a global portfolio of over 100 unique wine and spirits brands, we are the largest family-owned winery in the world. Apply Today! Our Brands. Your Future.

As a Data Engineer you help transform data into a format that can be easily analyzed and deploy data products in a multiplatform ecosystem. You will help develop, maintain, and test data pipelines for data generation. Helps to scale computational environments, establish cloud infrastructure and design across the development team as well as inform, develop, and deploy microservices and scale data science models.

What You Wil Do:

Creates ETLs (Extract Transform Load), validates, and supports data movement.
Assembles large complex sets of data that meet non-functional and functional business requirements.
Identifies, initiates, designs and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Builds required pipeline for optimal extraction, transformation and loading of data from various data sources using ANSI SQL technologies.
Builds analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
Works with stakeholders including the Executive, Product, Data and Design teams to support data infrastructure needs while assisting with data-related technical issues.
Identifies and builds data sets to address business needs.
Deploys analytics programs, machine learning and statistical methods.
Prepares data for predictive and prescriptive modeling.
Containerizes workloads by processing to be used by a receiving system allowing for more isolated workloads, to increase quality and decrease conflicts between job requirements.
Builds and optimizes data sets, 'big data' data pipelines and architectures.
Performs root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions that arise.
Builds processes that support data transformation, workload management, data structures, dependency and metadata.
Maintains satisfactory attendance, to include timeliness.
Responsible for understanding and complying with applicable quality, environmental and safety regulatory considerations. If accountable for the work of others, responsible for ensuring their understanding and compliance.
Exhibits Intrapreneurship and Ownership behaviors:
Intrapreneurship is entrepreneurship in an established company: behaviors that include thinking boldly, taking appropriate risks, learning from mistakes, showing initiative, and encouraging and reinforcing innovation.
Ownership refers to behaviors that include setting high expectations, driving candid discussion, and holding self and others accountable.

What You Will Need:

Master's Degree in Computer Science, MIS, Mathematics, Systems Engineering, Data Sciences, Physics, or Economics plus experience working in a product or platform development environment; OR Bachelor's Degree in Computer Science, Information Systems, MIS, Mathematics, Systems Engineering, Data Sciences, Economics, or Physics plus 2 years of experience working in a product or platform development environment reflecting increasing levels of responsibility; OR Bachelor's Degree plus 3 years of experience working in a product or platform development environment reflecting increasing levels of responsibility; OR High School Diploma or State Issued Equivalency Certificate plus 7 years of experience working in a product or platform development environment reflecting increasing levels of responsibility.
Experience in 2 of the following Database technologies: Oracle, Hana, MsSQL, Postgres, Neo4J, RedShift.
Experience Processing Data Streams.
2 years programming experience within Python.
Ability to write ANSI SQL queries.
Knowledge of basic programming against Spark.
Experience creating Containerized workloads.
Experience building and optimizing data sets.
Experience performing root cause analysis on internal and external processes and data to identify opportunities for improvement and to answer questions.
Required to travel to company offices, sites, and/or meeting locations for onboarding, training, meetings, and events for development, department needs, and business delivery up to 5% of the time, with or without reasonable accommodation. This may be in addition to travel requirements, if applicable, as listed in this job description.
Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this job description.

What Will Set You Apart:

Master's Degree in Computer Science, Information Systems, MIS, Mathematics, Systems Engineering, Data Sciences, Physics, or Economics plus 2 years of experience working in a product or platform development environment reflecting increasing levels of responsibility; OR Bachelor's Degree in Computer Science, Information Systems, MIS, Mathematics, Systems Engineering, Data Sciences, Economics, or Physics plus 4 years of working in a product or platform development environment reflecting increasing levels of responsibility.
AWS Certified in Big Data.
AWS Certified Solution Architect.
Experience with Big data tools such as Hadoop, Spark, Kafka, etc.
Experience with AWS cloud services: Ec2, EMR, RDS, Redshift, etc.
Programming experience against Pyspark, Scala, etc.
Experience building and optimizing 'big data' data pipelines and architectures.
Excellent analytical skills associated with working on datasets.

Gallo does not sponsor for employment based visas for this position now or in the future.

Compensation:

•  Hiring Salary Range Posted: $41.83 / hr. - $62.79 / hr.
•  Actual compensation paid within the range will be determined by factors such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and ali...

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Additional Information:

Job Posted:
Monday, February 12th
Type of Work:
Full Time
Job Level:
Mid-Level
Compensation:
$41.83
Reference No:
1131073000A0