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Thursday Interview (Retail exp must) || Data Analyst with PowerBI, Airflow exp || Remote at Remote, Remote, USA
Email: [email protected]
From:

Rahul Kumar,

SPAR Information Systems

[email protected]

Reply to:   [email protected]

Hello Folks,

(Must have PowerBI, Airflow, Bigquery exp) AND Plz share profiles only exp with Retail client. Without Retail client don't share the profile.

Hope you all are doing good.

Please go through the Job description and let me know your interest. 

Title: Data Analyst/ Engineer - Retail client exp Must

Work Location: Remote

Duration: Long Term Contract

Must Have Skills

PowerBI

Airflow

BigQuery/SQL

Job Description:

Client is looking for a strong data Analyst/engineer with strong BigQuery/SQL background, PySpark and Airflow experience, Needs Dashboard design experience (PowerBI or Python) will be ideal. 

    Power BI preferred. 

    The scope includes preparing query/script to calculate accuracy tables, design and implement dashboard to visualize accuracy comparison, and validate and fixing bugs with users. 

    The ideal candidate should be an expert in leading projects in developing and testing data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies.

    Excellent written and verbal communication skills and ability to liaise with technologists to executives is key to be successful in this role.

    Mandatory skills: BigQuery, PySpark, Airflow, PowerBI/ Python T

    Resource should be  independent contributor role from day one and should be able to work independently with peer data scientist in developing, finetuning or optimizing models.

    A bachelors degree in computer science or relevant fields is mandatory.

    Should be hands on and be able to work in an agile, fast-moving environment.

Thanks & Regards,

Rahul Kumar

Sr. Technical Recruiter

SPAR Information Systems

(a E-verify Company)

Email : [email protected]

Keywords: business intelligence golang
Thursday Interview (Retail exp must) || Data Analyst with PowerBI, Airflow exp || Remote
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Wed Jun 26 03:33:00 UTC 2024

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