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AWS Data Infra Architect - Conditions: Strictly Onsite and Locals Only at Remote, Remote, USA
Email: [email protected]
Role: AWS Data Infra Architect

Location: onsite to Alameda

Duration: FTE

Conditions: Strictly Onsite and Locals Only

Client: WinWire Technologies

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can check JD with your previously submitted candidates too

Key
Responsibilities

Experienced
to provide infrastructure solution for data pipelines, data warehousing
and ETL/ELT solutions on AWS

Familiarity
of working with other data integration tools (e.g., Tableau, , Dbt cloud
etc.,)

Understand
and review data architecture frameworks including data models, data flow
diagrams, and metadata management.

Understand
and review scalable and efficient data storage solutions, including
relational databases, data warehouses, and data lakes.

Work
with data engineers and developers to ensure the successful implementation
of data solutions and troubleshoot issues as they arise.

Ensure
data architecture and solutions comply with industry standards and
regulations, including GDPR, HIPAA, and other relevant frameworks.

Define
configurations at AWS services to maintain data security measures to
protect sensitive information.

Knowledge
of AWS cloud security best practices and tools in Data Encryption, Access
Management, Network Security, Security Policies and compliance

Skills

Experience
in setting up Infra for data engineering platform on AWS with focus on data
security and data governance. Which other data engineering can re-use as a
framework. Skills which include but not limited to -

Setup
and manage access to data using AWS Lake formation

Using
AWS Athena to leverage IAM roles for security and integrates with AWS Lake
Formation

Use
RDS / AWS Aurora with encryption, automated backups, and fine-grained
access controls

Use
of AWS Glue w.r.t data cataloguing, data crawling across different sources
and

Data
warehouse solutions like Redshift integration with AWS IAM

Understands
data lake architecture implementation using S3 AWS

Ability to
review, debug and provide solutions to Data warehousing solutions on AWS (e.g.,
Amazon Redshift,). Sills which include but not limited to -

Data
quality and transformation issues

Performance
bottlenecks

ETL
process failures

Data
skew issues

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Keywords: sthree rlang information technology
AWS Data Infra Architect - Conditions: Strictly Onsite and Locals Only
[email protected]
[email protected]
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Mon Aug 12 20:59:00 UTC 2024

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