Data Engineer (Java/Azure/AWS) - Hybrid

  • Columbia, SC
  • Posted 9 hours ago | Updated 9 hours ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Data Operations Hub
system design
application development
operational stability
architecture disciplines
programming languages
data architecture
modeling
integration
cloud data services
data domain driven design
data engineering
AWS
Azure services
ETL
ELT
event processing
SQL
data warehousing solutions
cloud native relational databases
Snowflake
Athena
Postgres
Business architecture
architecture assessment frameworks
ingesting
validating
transforming
securing
provisioning
Java
data modeling
data migrations
data integration
Data Solutions
data lakes
data product solutions
data technologies
data engineering community
data frameworks
emerging technologies
architectural models
sparkx
data processing technologies
Python
Airflow
data mesh

Job Details

Title: Data Engineer (Java/Azure/AWS) - Hybrid

Mandatory skills:


Data Operations Hub,
system design, application development, operational stability,
architecture disciplines, programming languages,
data architecture, modeling, integration, cloud data services, data domain driven design, data engineering,
AWS, Azure services,
ETL, ELT, event processing,
SQL, data warehousing solutions, cloud native relational databases, Snowflake, Athena, Postgres,
Business architecture, architecture assessment frameworks,
ingesting, validating, transforming, securing, provisioning,
Java,
data architecture, data modeling, data migrations, data integration, Data Solutions, data lakes, data product solutions, data technologies, data engineering community, data frameworks,
emerging technologies, architectural models, sparkx,
data processing technologies, Python, Java, Airflow, data mesh


Description:


SCOPE OF THE PROJECT:
The Data Operations Hub (DOH) serves as the centralized platform and team responsible for ingesting, validating, transforming, securing, and provisioning all enterprise data to support analytics, reporting, operational efficiency, and regulatory compliance.

DAILY DUTIES / RESPONSIBILITIES:
As a Software Developer (Java) Consultant at the client, you will be a key member of the Data Operations Hub Team. Your role involves designing, developing, and implementing analytical data solutions that align with the client's strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target client architecture goals.

Job Responsibilities:
Represent the Data Operations Hub team in various forums, advising on Data Solutions.
Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.
Evaluate and select data technologies, driving the adoption of emerging technologies.
Develop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.
Serve as a subject matter expert in specific areas.
Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.
Contribute to the data engineering community and advocate for client data practices.
Engage in hands-on coding and design to implement production solutions.
Optimize system performance by resolving inefficiencies.
Design reusable data frameworks using new technologies.

REQUIRED SKILLS (RANK IN ORDER OF IMPORTANCE):
Experience as Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
Hands-on experience in system design, application development, and operational stability.
Expertise in architecture disciplines and programming languages.
Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering.
Practical experience with AWS/Azure services, and data engineering disciplines.
Advanced experience in one or more data engineering disciplines, e.g, ETL/ELT, event processing.
Proficiency in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres
Strong problem-solving, communication, and interpersonal skills.
Ability to evaluate and recommend technologies for future client architecture.

PREFERRED SKILLS (RANK IN ORDER OF IMPORTANCE):
Business architecture knowledge and experience with architecture assessment frameworks.

REQUIRED EDUCATION/CERTIFICATIONS:
Bachelor's or Master's degree in Computer Science or related field.

Notes:
REMOTE WORK POSSIBILITY: 50%


VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.


Contact Details :


VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008

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About VIVA USA INC