Data Engineer
3 weeks ago
As a Data Engineer at Simplicity Group Holdings, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that are used for collecting, storing, processing, and analyzing large volumes of data.
This role involves collaborating with business stakeholders, outside partners, other software developers, analysts, and other stakeholders to ensure data availability, reliability, and quality for decision-making and operational purposes.
The ideal candidate will have hands-on experience with building data-focused processes in languages such as Laravel/PHP, Python, or other languages, and knowledge and experience working in cloud platforms like AWS and/or Azure.
Additionally, the candidate should have experience working with complex data objects in various formats like JSON, XML and across different DB designs like MySQL, MS SQL, and Salesforce DB's.
The successful candidate will have a Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field, and proven experience in data engineering, ETL (Extract, Transform, Load) processes, and data pipeline development.
Key Responsibilities:
- Data Processing and Transformation: Implement data processing and transformation using state-of-the-art tools and processes.
- Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for ingesting, transforming, and loading structured and unstructured data from various sources into data storage systems.
- Data Infrastructure: Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security.
- Data Quality and Governance: Implement data quality checks, monitoring, and governance processes to ensure data accuracy, consistency, and compliance with regulatory requirements.
- Performance Tuning: Identify and address performance bottlenecks in data pipelines and infrastructure through optimization, tuning, and capacity planning.
- Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand data requirements, develop data solutions, and support analytical use cases.
- Documentation: Document data pipelines, infrastructure configurations, and best practices for data engineering standards, ensuring knowledge sharing and team collaboration.
Requirements:
- Hands-on experience with building data-focused processes in languages such as Laravel/PHP, Python, or other languages.
- Knowledge and experience working in cloud platforms like AWS and/or Azure.
- Experience working with complex data objects in various formats like JSON, XML and across different DB designs like MySQL, MS SQL, and Salesforce DB's.
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
- Proven experience in data engineering, ETL (Extract, Transform, Load) processes, and data pipeline development.
Preferred Qualifications:
- Knowledge of or experience with Salesforce data models, API's and high-level architecture.
- Experience with Business Intelligence tools such as Domo, Microsoft PowerBI, or other BI tools.
- Agile development experience working with tools such as Atlassian Jira, Confluence, and Bitbucket.
- Experience with financial services products such as insurance, wealth management, or related fields.
- Certification or coursework in data engineering or related technologies.
Core Competencies:
- Excellent problem-solving skills, analytical thinking, and attention to detail.
- Effective communication and teamwork abilities to collaborate across multidisciplinary teams.
- Proven success working in both a team environment as well as independently.
Compensation & Benefits:
- Base salary: $110,000 - $130,000
- This is an exempt position
- Annual performance bonus target: 10%
- Employee benefits (medical, dental, vision, life insurance, other)
- 401k with employer match
- Paid Time Off
- Paid parking
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