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Immediate Interview for Lead Data Engineer !! Need Local to NY Only at Remote, Remote, USA
Email: [email protected]
My name is Shivam Kumar, a Resource Specialist with Amaze Systems Inc. US
based recruiting company which partners with many of the leading employers in
the IT, Telecom and Financial Services sectors. 

Job
Role: Lead Data Engineer   

Job
Location:
New
York, NY (Hybrid Onsite )

[email protected]

(Need Local to NY)

Job
Description :

High-Performance Culture: Be a key player in our high-performing team,
surrounded by

intellectual minds eager to collaborate and learn from each other.

Key Contributions:

Be a key contributor on one of  top-priority initiatives, backed by strong

senior management support. The platform is already making waves, and now it
& your chance to

steer it to new heights.

Visible Impact: Make your mark by driving the platform forward, contributing
to its success and

widespread adoption.

What We are Looking For:

Experienced Data Engineer: We need an experienced data engineer with a proven
track record of

driving product success from an engineering perspective. We are looking for
someone who has strong

experience in building scalable and reliable data pipelines using Databricks
and Spark. You will be

working with various data sources and formats, and transforming them into
valuable insights for our

business

Cultural Fit: Join our collaborative, respectful, and intellectually curious
team. We are persistent

problem solvers, communicative, results-driven, and positivebringing
accountability and

ownership to everything we do.

Your Role:

Holistic Learning: Dive into the intricacies of our platform, mastering its
ins and outs.

Strategic Contributions: Design, develop, and maintain data pipelines using
Databricks and

Spark, and other cloud technologies as needed

Hands-On Contribution: Tackle challenging tasks as a hands-on contributor,
ensuring a seamless

transition between various facets of this dynamic role throughout the workday.

Optimize data pipelines for performance, scalability, and reliability

Ensure data quality and integrity throughout the data lifecycle

Collaborate with data scientists, analysts, and other stakeholders to
understand and meet their data

needs

Troubleshoot and resolve data-related issues, and provide root cause analysis
and

recommendations

Document data pipeline specifications, requirements, and enhancements, and
communicate them

effectively to the team and management

Create new data validation methods and data analysis tools, and share best
practices and learnings

with the data engineering community

Implement ETL processes and data warehouse solutions, and ensure compliance
with data

governance and security policies

NY-based (min. 2 days in office each week: Tuesday plus one other day)

Required Qualifications

Bachelors degree in Computer Science, Engineering, or related field, or
equivalent work

experience

Strong background in Computer Science fundamentals including: algorithms,
data structures,

computational complexity, distributed computing

5+ years of experience in data engineering, preferably with Databricks and
Spark

Proficient in SQL and Python, and familiar with Java or Scala

Experience with cloud platforms, preferably Azure

Experience with data warehouse and data lake concepts and architectures

Experience with data integration and ETL tools, preferably Azure Data Factory

Strong analytical and problem-solving skills

Excellent communication and teamwork skills

Nice-to-Have

Experience with big data technologies, such as Kafka, Hadoop, Hive, etc.

Experience with data visualization and reporting tools, preferably Tableau

Thanks &
Regards

Shivam Kumar Lead Recruiter  

Amaze Systems Inc

USA:

8951 Cypress Waters Blvd, Suite 160, Dallas, TX 75019

Canada: 
55 York Street, Suite 401, Toronto, ON M5J 1R7

E: 
[email protected] | 
www.amaze-systems.com/

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Keywords: information technology New York Texas
Immediate Interview for Lead Data Engineer !! Need Local to NY Only
[email protected]
[email protected]
View all
Thu Apr 18 22:44:00 UTC 2024

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