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Hiring For AWS Cloud Engineer,Remote || Candidate must be local from WI or near by only at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=593324&uid=

Title: AWS Certified Cloud Engineer

Visa: ,

Location: Remote,
candidates submitted should reside in
Madison, WI

Duration: 6+ months

Must haves:

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.

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.

Required Skills

Developing complex SQL - 6 years

Gathering require Required Skills

Developing complex SQL - 6 years

Gathering requirements and developing technical
specifications for ETL 6 years

Using ETL tools to design ETL jobs (ETL 6 years,
preferably 2 years of with Alteryx)

Developing various types of data loads (e.g.,
incremental, history/full, survivorship rules) 6 years

Implementing change data capture (CDC) 4 years

Testing and debugging ETL 6 years

ETL job scheduling 2 years

Loading data warehouses using ETL tools 2 years
(preferably with SQL Server)

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.

Bachelors or masters 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 and
Regards

Manish Kumar

Technical
Recruiter

Cloud
Space LLC

Desk:
980 276 2241 EXT:1034

Email:
[email protected]

Linkedin:
(1) Manish
chaudhary | LinkedIn

Website:
www.cloudspacetek.com

Address : 1909 J N, Pease Place, Suite 201, Charlotte, NC 28262

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Keywords: sthree information technology card North Carolina Wisconsin
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10:33 PM 31-Aug-23


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