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Overview

Company
Jumio
Location
all cities, AZ 4
Employment type
On-site
  • Affordable Regional Portfolio Manager- Houston, TX (4)
  • Financial Strategist (4)
  • Electrical Engineer (Ukraine) (4)
  • Senior Mechanical Engineer - Data Centers (4)
  • Manager, HR Integrations (50185) (4)
  • Entry Level Chemical Regulatory Analyst (Remote) (19)
Back to Jobs
J
JumioVerified Employer

Business Services & Consulting • all cities, AZ 4

DWH Engineer II (4)

all cities, AZ 4On-sitePosted 14 hours ago
Business Services & Consulting

About the Role

DWH Engineer II

India (remote)

Role Purpose

We are looking for an experienced Data Warehouse Engineer II (DWH Engineer II) to join our data engineering team. The ideal candidate will have strong hands-on experience in AWS-based data platforms, large-scale data processing,data warehousing, and SQL performance optimization. This role requires expertise in designing, developing, and optimizing scalable ETL/ELT pipelines and supporting enterprise data migration and modernization initiatives.

Key Responsibilities
  • Design, develop, and maintain scalable data warehouse and ETL/ELT solutions on AWS.
  • Build and optimize data pipelines using PySpark and AWS Glue.
  • Develop and maintain AWS Lambda-based automation and orchestration workflows.
  • Work extensively with Amazon Redshift, including stored procedures, performance tuning, and query optimization.
  • Manage and optimize data storage and processing using Amazon S3 and Athena.
  • Implement secure and scalable access controls using AWS IAM.
  • Perform SQL query tuning and optimization for large-scale datasets and complex transformations.
  • Support data migration, modernization, and cloud transformation initiatives.
  • Collaborate with cross-functional teams including analytics, BI, application, and infrastructure teams.
  • Monitor, troubleshoot, and improve data platform reliability, scalability, and performance.
  • Follow best practices for data engineering, coding standards, CI/CD, and cloud architecture.
Required Skills & Qualifications

• 3–5 years of experience in Data Engineering or Data Warehousing roles. • Strong hands-on experience with AWS services including: - AWS Glue - AWS Lambda - Amazon Redshift - Amazon S3 - Amazon Athena - AWS IAM • Strong experience with PySpark and large-scale data processing. • Expertise in SQL development, query optimization, and performance tuning. • Experience developing and optimizing Redshift stored procedures. • Experience in data migration and cloud modernization projects. • Good understanding of data warehouse concepts, ETL/ELT frameworks, and distributed data processing. • Strong problem-solving and analytical skills. • Good communication and collaboration abilities.

Good to Have

• Experience with AI-driven automation solutions. • Knowledge of Prompt Engineering and Generative AI concepts. • Familiarity with automation frameworks or AI-assisted development workflows.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • Experience working in Agile development environments.

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy:

We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

DWH Engineer II

India (remote)

Role Purpose

We are looking for an experienced Data Warehouse Engineer II (DWH Engineer II) to join our data engineering team. The ideal candidate will have strong hands-on experience in AWS-based data platforms, large-scale data processing,data warehousing, and SQL performance optimization. This role requires expertise in designing, developing, and optimizing scalable ETL/ELT pipelines and supporting enterprise data migration and modernization initiatives.

Key Responsibilities
  • Design, develop, and maintain scalable data warehouse and ETL/ELT solutions on AWS.
  • Build and optimize data pipelines using PySpark and AWS Glue.
  • Develop and maintain AWS Lambda-based automation and orchestration workflows.
  • Work extensively with Amazon Redshift, including stored procedures, performance tuning, and query optimization.
  • Manage and optimize data storage and processing using Amazon S3 and Athena.
  • Implement secure and scalable access controls using AWS IAM.
  • Perform SQL query tuning and optimization for large-scale datasets and complex transformations.
  • Support data migration, modernization, and cloud transformation initiatives.
  • Collaborate with cross-functional teams including analytics, BI, application, and infrastructure teams.
  • Monitor, troubleshoot, and improve data platform reliability, scalability, and performance.
  • Follow best practices for data engineering, coding standards, CI/CD, and cloud architecture.
Required Skills & Qualifications

• 3–5 years of experience in Data Engineering or Data Warehousing roles. • Strong hands-on experience with AWS services including: - AWS Glue - AWS Lambda - Amazon Redshift - Amazon S3 - Amazon Athena - AWS IAM • Strong experience with PySpark and large-scale data processing. • Expertise in SQL development, query optimization, and performance tuning. • Experience developing and optimizing Redshift stored procedures. • Experience in data migration and cloud modernization projects. • Good understanding of data warehouse concepts, ETL/ELT frameworks, and distributed data processing. • Strong problem-solving and analytical skills. • Good communication and collaboration abilities.

Good to Have

• Experience with AI-driven automation solutions. • Knowledge of Prompt Engineering and Generative AI concepts. • Familiarity with automation frameworks or AI-assisted development workflows.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • Experience working in Agile development environments.

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy:

We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

What You'll Do

Design, develop, and maintain scalable data warehouse and ETL/ELT solutions on AWS.
Build and optimize data pipelines using PySpark and AWS Glue.
Develop and maintain AWS Lambda-based automation and orchestration workflows.
Work extensively with Amazon Redshift, including stored procedures, performance tuning, and query optimization.
Manage and optimize data storage and processing using Amazon S3 and Athena.
Implement secure and scalable access controls using AWS IAM.

Skills & Technologies

Business Services & Consulting

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