Data Engineer: Scalable Data Pipelines & Analytics

VSP Global; United States; Hybrid; USD 63,000 - 109,000; Full time

Job summary

VSP Global is seeking a Data Engineer to build and maintain data pipelines, enabling analytics with data integrity and quality for enterprise use. You will collaborate with analytics, data warehousing, DBAs and SMEs in an agile environment, designing modular, scalable solutions and ensuring data is ready for business insights.

Responsibilities include data profiling, ETL/ELT design, SQL development, and implementing CI/CD practices while leveraging tools like IBM DataStage, Snowflake, Redshift

Qualifications

• Bachelor's degree in computer science, data science, statistics, economics or related field, or equivalent experience.
• Strong written and verbal communication to gather requirements and collaborate with teams.
• 4+ years in a development team providing analytical capabilities.
• 4+ years hands-on in data space: data prep, SQL, ETL/ELT, data pipelines.
• SQL coding experience and familiarity with agile development environments.

Responsibilities

• Create and maintain data pipelines using development, test, and production environments.
• Profile data quality and work with partners to remediate issues.
• Design modular, reusable data integration solutions leveraging ELT/ETL and data virtualization.
• Document data requirements and ensure data loading integrity for analytics.
• Participate in code reviews and unit testing to optimize performance.

Skills

SQL

Data modeling

ETL/ELT

Agile/Scrum/Kanban

Data quality

Effective communication

Education

Bachelor's degree in CS/data-related field

Tools

IBM InfoSphere DataStage

Oracle Data Integrator

Informatica PowerCenter

MS SSIS

AWS Glue

Denodo

Snowflake

Kafka

Confluent

Job description

VSP Global is seeking a Data Engineer to build and maintain data pipelines, enabling analytics with data integrity and quality for enterprise use. You will collaborate with analytics, data warehousing, DBAs and SMEs in an agile environment, designing modular, scalable solutions and ensuring data is ready for business insights.

Responsibilities include data profiling, ETL/ELT design, SQL development, and implementing CI/CD practices while leveraging tools like IBM DataStage, Snowflake, Redshift