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Tried reaching you.......... Big Data Engineer - 100% Remote at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1753534&uid=

From:

Pam,

ITECS

[email protected]

Reply to: [email protected]

Experience Level: 5-6 years. 100% Remote

This is an immediate position, only 1-2 profiles from 1 supplier. We need somebody who can join us by 1st week of Sep, chances of extension are there.

Key Skills: Databricks, Pyspark, Python, P

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Job Title: Databricks with PySpark

Big Data Engineer

Work Location: 100% Remote USA

Must-have Skills:

Big Data Proficiency

: Experience with big data technologies -Databricks with PySpark

Data Modelling

: Strong understanding of data modelling principles and experience in designing efficient data models BI Tools. Understanding & Experience of ETL tools

SQL and Data Manipulation

: Proficiency in SQL and data manipulation skills to prepare data for visualization.

Scripting Languages

: Intermediate or higher level of understanding of scripting language Python for creating efficient and customizations of applications and writing automation script is expected.

Good to have Skills:

Other scripting Languages: Familiarity with scripting languages such as JavaScript other than python for customizations and automation.

Google Pub sub/Kafka/Mongo DB

ETL: Familiarity with ETL processes and tools for data extraction, transformation, and loading.

Cloud Platforms

: Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud for ThoughtSpot deployments.

Data Warehousing: Understanding of data warehousing concepts and technologies.

Data Governance: Familiarity with data governance and data quality best practices.

Certifications

: certifications or relevant industry certifications Databricks, P cloud

Data Security: Knowledge on PII and masking is desirable.

Agile: Working knowledge on Agile/SAFe

Domain Expertise: Knowledge on Retail Domain KPIs

Qualification:

Bachelors degree in computer science, engineering, or related field

Demonstrated continued learning through one or more technical certifications or related methods

4+ years of Experience in Big Data Technologies must be able to articulate use cases supported and outcomes driven Relevant experience in Retail domain

Full Name

Contact Phone No.

E-mail

Skype ID

Linkdin ID

Current Location

Relocation

Availability

Rate

$_____/-Hrly-C2C

Communication Skills out of 10

Last Four Digit of Social

Validity of Visa

DOB

Education/University

Year of Graduation

REFERENCES FROM YOUR CURRENT OR PREVIOUS EMPLOYER:

Reference #1

Name:

Job Title:

Company:

Phone:

E-mail:

Reference #2

Name:

Job Title:

Company:

Phone:

E-mail:

Thanks N' Regards,

PAM

IT & EBusiness Consulting Services Inc.

Ph: (516) 515-7931 Fax: 866 515 6599

Email:
[email protected]

Linkedin: https://www.linkedin.com/in/pam-itecs-b5758ab2/

Note: HEADPHONES, AIRPODS, EARPODS etc, will not be allowed during interview, kindly attend the interview using Laptop's microphone only.

Keywords: business intelligence database information technology Idaho
Tried reaching you.......... Big Data Engineer - 100% Remote
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1753534&uid=
[email protected]
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10:54 PM 16-Sep-24


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