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Looking for Lead Azure Data Engineer || Chicago, IL (3 days onsite a week) at Chicago, Illinois, USA
Email: [email protected]
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Position: Lead Azure Data Engineer

Location: Chicago, IL (3 days onsite a week)

Local Only

The Lead Data Engineer will be responsible for the overall
design and development of the solution; works with other data Engineers and
modelers to implement various processes to support building necessary
components and maintaining the platform. Lead data engineer interfaces with
business teams to gather high level requirements.

Responsibilities:

  Design, model, and
implement data warehousing activities to deliver the data foundation that
drives impact through informed decision making.

Work with engineers, product managers, and data analysts to
understand data needs, propose or enhance existing framework and platform.

Lead planning and designing solutions for multiple project
initiatives, provide technical management to other Data Engineers

Handle Client communications and settle expectations.

Solve challenging data integration problems utilizing
optimal ETL, ELT patterns, frameworks, query techniques, and sourcing from
structured and unstructured data sources.

  Leverage MongoDB as
a NoSQL database solution, managing data modelling, indexing, and query
optimization.

  Develop Azure Logic
Apps to automate business workflows, integrating with various external systems
through connectors and custom APIs.

Design and implement Azure Service Bus solutions for
enterprise-scale applications, enabling seamless communication between
microservices and distributed components.

Optimize pipelines, dashboards, frameworks, and systems to
facilitate easier development of data artifacts.

Build data expertise and own data quality for allocated
areas of ownership including managing SLAs and supporting processes running in
production.

 Required Skills
& Qualifications:

A degree (preferably an advanced degree) in Computer
Science, Engineering or a related field

Capable in planning, designing and leading small team of
data Engineers including mentoring and guiding development.

  7+ years of industry
experience in architecting and developing data warehousing solutions,
preferably in large production environments.

Azure Data Service - ADF or Synapse Analytics

Extensive experience in designing, developing, and
maintaining data solutions/pipelines in the Azure ecosystem, including Azure
Service Bus, Logic Apps, SQL, Mongo DB & ADF.

Expertise in data ETL/ELT, schema design, dimensional
modeling, slowly changing dimensions.

Capability in coding and optimizing PySpark programs,
partitioning and scaling parquet, and delta formatted data structures.

Creating and optimizing large scale datasets, and
familiarity with modern data warehousing techniques Mandatory Skills Data
Engineering, Logic Apps, Azure Service Bus, SQL, Azure data factory, Mongo db

Thanks, and Regards

Himanshu Sharma | Talent Acquisition
Specialist

Amaze Systems
Inc.

USA:

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

D
: +1 (669) 305-7733

LinkedIn:
https://www.linkedin.com/in/sahab18/

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

USA | Canada | UK | India

Amaze Systems is an Equal Opportunity Employer (EOE), and
does not discriminate based on age, gender, religion, disability, marital
status, race and also adheres to laws relating to non-discrimination on the
basis of national origin and citizenship status.

--

Keywords: database information technology Illinois Texas
[email protected]
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Tue Jan 30 21:38:00 UTC 2024

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