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Principal Data Engineer
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À propos
Design and implement high-performance batch and streaming data pipelines with advanced stream-processing capabilities including stateful processing, windowing, event-time processing, checkpointing, fault tolerance, andexactly oncesemantics.
Develop scalable microservices, REST APIs, reusable data frameworks, and enterprise data processing components.
Drive platform modernization, technical design reviews, engineering standards, and adoption of innovative technologies to improve scalability, reliability, performance, and operational efficiency.
Design andmaintaincloud-native infrastructure, CI/CD pipelines, deployment automation, and containerized applications using Kubernetes, Docker, Terraform/CloudFormation, ECS/EKS, and AWS services including S3, MSK, Redshift, Aurora, RDS, Lambda, Glue, and CloudWatch.
Designoptimizedrelational and analytical data models using Oracle, PostgreSQL, Redshift, and Aurora, including performance tuning, indexing, partitioning, and query optimization.
Implement observability, monitoring, alerting, logging, data quality validation, and reconciliation frameworks to ensure operational excellence and platform reliability.
Troubleshoot complex production issues, perform root-cause analysis, and collaborate with SRE and DevOps teams to improve platform stability, scalability, and deployment automation.
Provide technical leadership, mentorship, and guidance to engineering teams while driving best practices, governance, and continuous improvement initiatives.
Required Experience Strongexpertisein Java, Spring Boot, REST API development, and Microservices Architecture
Proficiencyin Python is preferred; experience with Node.js is a plus
Strong hands-on experience with Apache Kafka, Kafka Connect, Kafka Streams, Apache Flink, and AWS MSK
Extensive experience designing and developing cloud-native applications on AWS
Solidexpertisein Kubernetes, Docker, Terraform/CloudFormation, ECS, and EKS environments
Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases
Experience with data modeling, database optimization, query tuning, indexing, and performance improvement strategies
Proven experience developing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Maven/Gradle, and SonarQube
Strongexpertisein monitoring, logging, and observability tools including CloudWatch, Prometheus, Grafana, ELK Stack, and related operational frameworks
What Sets You Apart Bachelor's or master'sdegree in computer science, Engineering, Information Systems, or a related field
8+ years of software engineering or data engineering experience
5+ years of hands-on experience with Apache Kafka and event-driven architectures
4+ years of experience with Apache Flink and real-time stream processing
Strong experience designing scalable, fault-tolerant, andhighly availabledistributed systems
Proven experience leading enterprise-scale platform initiatives and mentoring engineering teams
Join SS&C, where innovation meets global opportunities.Click heretoapply. #LI-PE1 Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity. Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. Massachusetts: The expected base salary for the position is between 160,000 USD to 170,000 USD.
Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
Compétences linguistiques
- English
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