Home

Need 15+ Years Azure Data Factory (PySpark) || Remote at Remote, Remote, USA
Email: [email protected]
Greeting,

Hope doing well

My name is Ankit Kumar, a Sr. Technical
Recruiter with Silverlink Technologies. We are
looking for a suitable candidate for the position, I came across your resume
and found this a perfect fit for this role. I would appreciate it if you can
provide the best time and number to reach you to discuss this further

Title
:
Azure Data Factory (PySpark)

Location : Remote

Client :
HCL

Experience : 15+ Years

Job Summary:

Experience as Data Tech Lead with expertise in PySpark,
Azure Data Factory (ADF), and Power BI to design and implement scalable data
solutions that meet business requirements. The ideal candidate will have a
strong background in data engineering, data integration, and data
visualization, with a focus on creating efficient, reliable, and secure data
pipelines and reporting solutions.

Key Responsibilities:

Data
Architecture Design: Design and develop scalable, high-performance
data architecture solutions using PySpark, ADF, and Power BI to support
business intelligence, analytics, and reporting needs.

Data
Pipeline Development: Build and manage robust data pipelines using
PySpark and Azure Data Factory, ensuring efficient data extraction,
transformation, and loading (ETL) processes across various data sources.

Data
Modeling: Develop and maintain data models that optimize query
performance and support the needs of analytics and reporting teams.

Integration
and Automation: Design and implement integration strategies to
automate data flows between systems and ensure data consistency and
accuracy.

Collaboration:
Work closely with data engineers, data analysts, business intelligence
teams, and other stakeholders to understand data requirements and deliver
effective solutions.

Data
Governance and Security: Ensure data solutions adhere to best
practices in data governance, security, and compliance, including data
privacy regulations and policies.

Performance
Optimization: Continuously monitor and optimize data processes and
architectures for performance, scalability, and cost-efficiency.

Reporting
& Visualization: Utilize Power BI to design and develop
interactive dashboards and reports that provide actionable insights for
business stakeholders.

Documentation:
Create comprehensive documentation for data architecture, data flows, ETL
processes, and reporting solutions.

Troubleshooting
& Support: Provide technical support and troubleshooting for
data-related issues, ensuring timely resolution and minimal impact on
business operations.

Qualifications:

Education:

Bachelor
s degree in Computer Science, Information Technology, Data Science, or a
related field.

Experience:

Minimum
of 15+ years of experience in data architecture and engineering, with a
focus on PySpark, ADF, and Power BI.

Proven
experience in designing and implementing data pipelines, ETL processes,
and data integration solutions.

Strong
experience in data modeling and data warehouse design. Technical Skills:
Proficiency in PySpark for big data processing and transformation.
Extensive experience with

Azure Data Factory (PySpark) for data orchestration
and ETL workflows.

Strong
expertise in Power BI for data visualization, dashboard creation, and
reporting. Knowledge of Azure services (e.g., Azure Data Lake, Azure
Synapse) and other relevant cloud-based data technologies.

Strong
SQL skills and experience with relational databases. Soft Skills:
Excellent problem-solving and analytical skills. Strong communication and
collaboration skills, with the ability to work effectively with
cross-functional teams.

Ability
to manage multiple priorities in a fast-paced environment.

Thanks & Regards

Ankit Kumar

Team Lead

[email protected]

https://www.linkedin.com/in/ankit-kumar-6300111a1/

Silverlink
Technologies Pvt Ltd

www.silverlinktechnologies.com

--

Keywords: business intelligence information technology
Need 15+ Years Azure Data Factory (PySpark) || Remote
[email protected]
[email protected]
View all
Thu Aug 29 19:31:00 UTC 2024

To remove this job post send "job_kill 1705729" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]
Time Taken: 0

Location: ,