Senior Data Engineer

• Design, build, and maintain scalable

.

• Develop and optimize

data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch .

• Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using

.

• Design and optimize analytical data platforms using

.

• Integrate enterprise and external data sources across relational and NoSQL platforms including

.

• Build

.

• Develop cloud infrastructure using

for event-driven architectures.

• Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.

• Support mission-critical analytics and reporting solutions within large-scale

security controls.

• Lead modernization initiatives migrating legacy platforms including

, and shell-based workflows to cloud-native AWS services.

• Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.

• Collaborate with cross-functional teams in an

• A strategic data engineer who enjoys designing complex systems and solving complex challenges

• Strong in modern cloud-based solution design

• Comfortable balancing business needs with technical constraints and long-term strategy

• A strong communicator

• Collaborative, proactive, and comfortable navigating ambiguity

• Bachelor's degree in Computer Science, Engineering, or a related technical field

• 9+ years of professional experience in data engineering or related domains

• Strong hands-on experience with:

•

for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.

• Designing, building, and maintaining

.

• Developing scalable

solutions across enterprise environments.

• Working with modern data lake technologies including

.

• Designing and optimizing solutions using relational and NoSQL databases including

platforms.

• Building reliable, high-performance data platforms through

.

• Strong analytical and problem-solving skills

• Experience working in agile, iterative software development environments

• Ability to quickly learn and apply new technologies and domain knowledge

• Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

• Experience supporting analytics, data engineering, or modernization initiatives for

capital markets, or other highly regulated environments is a plus.

• Experience with

(streaming/data pipelines)

• Experience with Docker and Kubernetes for containerization and orchestration

• Proficiency with Splunk for log aggregation and system monitoring

• Experience using Terraform for infrastructure automation and management

• Strong SQL skills, including performance tuning and complex query design

• Remote Work (Hybrid roles will be specified in the job post)

• Competitive Compensation Package

• Medical, Dental, and Vision

• Life Insurance, Short/Long Term Disability

• Employee Assistance Program

• 401(k) with 4% matching

• Liberal PTO vacation policy

• Generous Annual Continuing Education

• Annual Wellness Budget

• Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group !

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Originally posted on Himalayas