Data Engineer - Hybrid

Title: Data Engineer - Hybrid

Mandatory skills:

SQL, writing complex queries, optimizing performance, managing large datasets,
Python, data processing scripts, automating data workflows, implementing data pipelines,
Data Warehouse, data loading, query performance tuning, managing user access, security protocols, Snowflake,
big data technologies, cloud-based analytics platforms, Azure,
data flow tools, data ingestion, transformation, routing, data sources, data systems, Apache Nifi,
Postgres, MySQL databases,
data requirements, robust data pipelines, transfer data, data storage solutions, data retrieval, data analysis, data warehouse, data quality, data architecture, data processes, data standards, data resources,
performance, security, scalability, ETL, ELT processes

Description:

THE ROLE:
This position will be within a central organization and tasked with designing, establishing, and maintaining the architecture necessary for Client, Graphics, and Semi-Custom teams to efficiently manage and leverage their data resources.

THE PERSON:
We are seeking an experienced Data Engineer with a solid blend of technical expertise, analytical capabilities, and business acumen. The ideal candidate will possess the strategic thinking skills necessary to develop and implement robust data architectures that meet complex business requirements. They will be responsible for designing, building, and maintaining data pipelines and infrastructure, optimizing data storage solutions, and ensuring the seamless integration of data from various sources.

KEY RESPONSIBILITIES:
Perform duties of database administrator for snowflake, Postgres and MySQL databases.
Collaborate with data analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure.
Design, build, and maintain robust data pipelines to collect, process, and transfer data from various sources to data storage solutions.
Create data models that facilitate efficient data storage, retrieval, and analysis in data warehouse.
Manage and optimize data warehouse, ensuring performance, security, and scalability.
Develop and implement ETL and ELT processes to integrate data from multiple sources, ensuring data quality and consistency.
Manage cloud-based data solution (Azure) to enhance data storage and processing capabilities
Create and maintain comprehensive documentation for data architecture, processes, and standards to ensure transparency and maintainability.

PREFERRED EXPERIENCE:
Experience working within semiconductor industry or related high-tech sectors
At least 5+ years of experience in SQL, including writing complex queries, optimizing performance, and managing large datasets.
At least 5+ years of experience in Python or similar languages, focusing on developing data processing scripts, automating data workflows, and implementing data pipelines.
Experience in administering and optimizing a Data Warehouse, including data loading, query performance tuning, and managing user access and security protocols (Snowflake is preferred).
Experience with big data technologies and cloud-based analytics platforms (Azure is preferred).
Experience in using data flow tools to design and manage data flows, ensuring efficient data ingestion, transformation, and routing between various data sources and systems. (Apache Nifi is preferred).
Experience collaborating with international teams, particularly in China and India.
Strong project management skills and experience leading cross-functional teams
Strong communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders

ACADEMIC CREDENTIALS:
Bachelor s or Master's degree in Computer Science or Engineering preferred

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