Junior Data Engineer

PERKS

Early regularization: get regularized as early as your 3rd month! Paid trainings and certifications Paid leaves upon hire Fun and innovative culture - we love getting things done while also having fun!

DIRECTLY REPORTS TO

Head of Data Science

MAIN AREA OF RESPONSIBILITY

The primary responsibility of the Junior Data Engineer is to transform data into a format that can

be easily analyzed. He/She will be responsible for designing and developing Sprouts data

system, processing and extracting data features and deploying the data science teams machine

learning models. He/She will support our software engineers, architects and data scientists on

data initiatives and will ensure optimal data delivery architecture is consistent throughout

ongoing projects.

TASKS

Build, optimize and maintain conceptual, logical and physical database models

Develop database solutions to store and retrieve information

Assemble datasets that meet functional/non-functional business requirements

Monitor data integrity and adopt appropriate tools

Improve system performance

Suggest optimizations or give recommendations on data architecture to support Sprouts next generation of products and data initiatives

Design, develop, test and deploy web service APIs

Work with Data Scientists to identify future needs and requirements

Deploy models and algorithms developed by the Data Science team

Perform other duties as assigned by the company

QUALIFICATIONS | COMPETENCIES

Knowledge on databases (SQL and/or NoSQL) and data engineering best practices

SQL and other programming languages(e.g. Python, Java, Scala, shell scripting etc.)

Experience with data modeling (data warehouse, data lake) and designing data storage schemes

Familiarity with data engineering and ETL software tools, hadoop, spark, talend, SSAS, etc. is also helpful

Experience building and optimizing data pipelines, architecture and datasets

Experience in software development

Experience with Azure

A successful history of manipulating, processing and extracting value from large disconnected datasets is a plus

Familiarity with data visualization tools (e.g. PowerBI or Google Data Studio)

Familiarity with agile development as a project management methodology is a plus

Strong problem-solving and analytical skills

Must be self-motivated and comfortable supporting the data needs of multiple teams, systems and products

A good team player and willingness to learn

Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc.)

Sprout Solutions provides equal Opportunity Employment and Welcomes applications from all sectors of the society. Discrimination on the basis of race, religion, age, nationality, ethnicity, gender, citizenship, civil partnership status, or any other grounds as protected by law.

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