Sr. Data Engineer
Job Summary
Job Description
As a Senior Data Engineer, you will take a pivotal role building and maintaining scalable, secure, and high-performance analytics applications. Your knowledge of AWS, data warehousing and infrastructure will be crucial in shaping our platform's future. You will mentor junior developers, collaborate with cross-functional teams, and contribute to our mission of enabling our organization to increase revenue through data driven insights.
Must have:
- Design and build data lakes, warehouses, infrastructure, pipelines (ETL/ELT), and models.
- Automate data ingestion, delivery, processing, and quality.
- Maintain system infrastructure, IAM policies, and security standards.
- Maintain system network.
- Apply expertise in AWS cloud solutions and architecture.
- Research and recommend technical solutions for complex problems.
- Learn new tools for performance, automation, and scalability.
- Translate business goals into technical solutions.
- 2-5 years data engineering and/or data warehousing experience.
- 2-5 years building AWS cloud data solutions.
- Proficiency in designing and deploying data pipelines.
- Strong communication skills.
- Strong analytical problem-solving skills.
- Self-starter, able to work independently or in teams.
- Proficiency in ETL/ELT tools (e.g., DBT).
- Proficiency in data modeling and storage practices (data lakes, warehouses, marts, OLAP).
- Proficiency in Agile, DevOps, and DataOps concepts.
- Proficiency in programming languages (e.g., Python, YAML).
- Proficiency in SQL for data profiling and transformation.
- Proficiency in version control platforms (e.g., Git).
- Proficiency in IaaC (e.g., CloudFormation).
- Proficiency in Networking (VPC, Subnets, Security Groups, Route Tables).
- Proficiency in AWS services (Lambda, RDS, Step Functions, EventBridge, ECS).
Perks:
- Hybrid Work Model
- Business Casual Dress Code, including jeans
- 401k Matching Program
- Professional Development Reimbursement
- Flexible Personal/Vacation Time Off
- Sick Leave
- Paid Holidays
- Medical
- Dental
- Vision
- Employee Assistance Program
- Parental Leave
- Committed to Welcoming, Celebrating and Thriving on Diversity
- Hands-On, Team-Customized Training, including SS&C University
- Discounts on fitness clubs, travel and more!
14 skills required
Job Details
Job Description
Get To Know The Team:
As a Senior Data Engineer, you will take a pivotal role building and maintaining scalable, secure, and high-performance analytics applications. Your knowledge of AWS, data warehousing and infrastructure will be crucial in shaping our platform's future. You will mentor junior developers, collaborate with cross-functional teams, and contribute to our mission of enabling our organization to increase revenue through data driven insights.
Why You Will Love It Here!
- Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
- Your Future: 401k Matching Program, Professional Development Reimbursement
- Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
- Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
- Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
- Training: Hands-On, Team-Customized, including SS&C University
- Extra Perks: Discounts on fitness clubs, travel and more!
What You Will Get To Do:
- Design, develop, and build data lakes, data warehouses, data infrastructure, data pipelines (ETL/ELT), and data models
- Automate the ingestion, delivery, processing, and quality, of structured and unstructured data
- Support and maintain system infrastructure, IAM policies and adhere to corporate security standards
- Support and maintain system network
- Bring your expertise in Amazon Web Services cloud solutions, architecture, related technologies, and their interdependencies
- Research, analyze, recommend, and select technical approaches for solving difficult and meaningful development and integration problems
- Learn and embrace new tools and techniques to increase performance, automation, and scalability
- Understand business goals and drivers and translate those into an appropriate technical solution
What You Will Bring:
- You bring 2-5 years of data engineering and/or data warehousing experience
- You have 2-5 years of experience building AWS cloud data solutions
- Proficient in designing and deploying data pipelines for ingest and transformation
- You have strong communication skills and can translate technology to business and vice versa
- You're a strong analytical problem-solver
- You're a self-starter who has the ability to work independently or as part of a project team
- Proficient in minimum 5 of the following:
- Relevant ETL/ELT tool for data & analytics platforms (e.g. DBT)
- Data modeling and storage practices for data lakes, big data applications, data warehouses, data marts, and OLAP services
- Agile development methodologies including DevOps and DataOps concepts
- Relevant programming language for cloud platforms (e.g. Python and YAML)
- SQL for data profiling and transformation
- Version control platforms like Git
- IaaC (e.g. CloudFormation)
- Networking (VPC infrastructure and configuration: Subnets, Security Groups, Route Tables)
- AWS services supporting data architecture: Lambda, RDS, Step Functions, EventBridge, ECS
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About The Company
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
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