Data Entry Starbucks Remote Jobs - Work from Home Jobs - VacancyGlobal

Remote Full-time
Data Entry Starbucks Remote Jobs

Hiring Organization: Starbucks

Post Name: Sr Data Engineer

Industry: Private

Employment Type: Full Time

Salary: $55 To $80 An Hour

Job Location: United States

Remote Location: Remote Work From: USA

Full Job Description:-

This function contributes to Starbuck's fulfillment via way of means of constructing corporation records offerings for analytic solutions. This function is liable for layout, improvement, testing, and assistance for records pipelines and records merchandise to allow non-stop records processing for records exploration, records preparation, and real-time enterprise analytics.

Summary of Key Responsibilities

Responsibilities and crucial activity features encompass however aren't restricted to the following:

Demonstrate deep know-how of the records engineering area, together with non-interactive (batch, allotted) & real-time, surprisingly to be had records, records pipelines
Deep know-how of records as an idea and the improvement of the area pushed records merchandise.
Optimization of records merchandise to provide client personas, Data Science, AI/ML and records visualization.
Knowledge of semantic records concepts.
Build fault-tolerant, self-healing, adaptive, and surprisingly correct records computational pipelines
Provide sessions and lead the implementation of complicated programs
Develop and preserve documentation referring to all assigned structures and projects
Perform root reason evaluation to discover everlasting resolutions to software programs or enterprise manner issues

Basic Qualifications

Bachelor’s diploma in laptop science, control facts structures, or associated discipline, or equal work experience

MUST HAVE Technology skills (7/10 or higher):

Strong/professional Spark (PySpark) Using Jupyter Notebooks, Colab or DataBricks
Hands-on records pipeline improvement, ingest styles in Azure
Orchestration tools, ADF or Airflow
SQL
Denormalized Data modeling for large records structures

MUST HAVE competencies:

Collaborative, capable of working remotely, and nevertheless be a fascinating group member.
Strong analytical and layout skills.
7-10 years of experience in Architect and layout big scale excessive overall performance allotted structures
7-10 years of experience in SQL Platform
3+ years of experience in No-SQL Platform
3+ years of experience in Spark
3+ years of experience in Data platform implementation on Azure or AWS
2+ years of experience in CI/CD experience
Exposure to SOA architecture

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