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Our direct client is looking for a Certified Cloud Engineers in Madison, WI (Remote Role) at Madison, Wisconsin, USA
Email: [email protected]
Hi,

Hope you are doing good..

This is Syed

from Encore Consulting. We are a staffing firm that deals with contract
and full time placement. I am looking for an

Certified
Cloud Engineers

Please send me your updated
resume in WORD format along with expected rate & availability. If you are
not available for any positions, but you know someone who would be a best fit
for this job, please don't hesitate to pass this message/mail on to them.

Role:
Certified Cloud Engineers

Location: Madison, WI (Remote After relocation)

Duration: Long Term

Top
Skills (3) & Years of Experience: 

1+
Years of Experience with extensive hands-on experience designing, developing, and
maintaining data pipelines and ETL processes on AWS Redshift, including data
lakes and data warehouses, Hands-on experience with AWS services such as AWS
DMS, Amazon S3, AWS Glue, Redshift, Airflow, and other pertinent data
technologies, Strong understanding of ETL best practices, data integration,
data modeling, and data transformation.

Nice to Have:

Proficiency in SQL programming and Redshift stored procedures
for efficient data manipulation and transformation,

AWS certifications related to data engineering or databases are
a plus.

Experience with complex ETL scenarios, such as CDC and SCD
logics, and integrating data from multiple source systems,

Demonstrated expertise in AWS DMS for seamless ingestion from
on-prem databases to AWS cloud

Collaborate with data engineering and development teams to
design, develop, test, and maintain robust and scalable ELT/ETL pipelines
using SQL scripts, Redshift stored procedures, and other AWS tools and
services.

Collaborate with our engineering and data teams to understand
business requirements and data integration needs, translate them into
effective data solutions, that yield top-quality outcomes.

Architect, implement, and manage end-to-end data pipelines,
ensuring data accuracy, reliability, data quality, performance, and
timeliness.

Employ AWS DMS and other services for efficient data
ingestion from on-premises databases into Redshift.

Design and implement ETL processes, encompassing Changed Data
Capture (CDC) and Slow Changing Dimension (SCD) logics, to seamlessly
integrating data from diverse source systems.

Provide expertise in Redshift database optimization,
performance tuning, and query optimization.

Design and implement efficient orchestration workflows using
Airflow, ensuring seamless coordination of complex ETL processes.

Integrate Redshift with other AWS services, such as AWS DMS,
AWS Glue, AWS Lambda, Amazon S3, Airflow, and more, to build end-to-end
data pipelines.

Perform data profiling and analysis to troubleshoot
data-related challenges / issues and build solutions to address those
concerns.

Proactively identify opportunities to automate tasks and
develop reusable frameworks.

Work closely with version control team to maintain a
well-organized and documented repository of codes, scripts, and
configurations using Git.

Provide technical guidance
and mentorship to fellow developers, sharing insights into best practices,
tips, and techniques for optimizing Redshift-based data solutions.

Qualifications and Skills:

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

Extensive hands-on experience designing, developing, and
maintaining data pipelines and ETL processes on AWS Redshift, including
data lakes and data warehouses.

Proficiency in SQL programming and Redshift stored procedures
for efficient data manipulation and transformation.

Hands-on experience with AWS services such as AWS DMS, Amazon
S3, AWS Glue, Redshift, Airflow, and other pertinent data technologies.

Strong understanding of ETL best practices, data integration,
data modeling, and data transformation.

Experience with complex ETL scenarios, such as CDC and SCD
logics, and integrating data from multiple source systems.

Demonstrated expertise in AWS DMS for seamless ingestion from
on-prem databases to AWS cloud.

Proficiency
in Python programming with a focus on developing efficient Airflow DAGs
and operators.

Experience
in converting Oracle scripts and Stored Procedures to Redshift
equivalents.

Familiarity
with version control systems, particularly Git, for maintaining a
structured code repository.

Proficiency
in identifying and resolving performance bottleneck and fine-tuning
Redshift queries,

Strong
coding and problem-solving skills, and attention to detail in data quality
and accuracy.

Ability
to work collaboratively in a fast-paced, agile environment and effectively
communicate technical concepts to non-technical stakeholders.

Proven
track record of delivering high-quality data solutions within designated
timelines.

Experience
working with large-scale, high-volume data environments.

The
ideal candidate possesses several years of hands-on experience working
with Redshift and other AWS services and a proven track record of
delivering high-performing, scalable data platforms and solutions within
the AWS cloud.

AWS certifications related to data
engineering or databases are a plus.

Thanks &
Regards

Syed Fareed

Encore Consulting Services, Inc

1701 E. Woodfield Road, Suite #910, Schaumburg, IL - 60173

Phone NO: 847-222-0244 X 402

Email: 

[email protected]
  | 

http://www.encore-c.com

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Keywords: access management sthree information technology Illinois Wisconsin
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Wed Sep 06 22:31:00 UTC 2023

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Location: Madison, Wisconsin