À propos
At our organization, we're transforming how businesses leverage data to drive strategic decisions. Our Data Warehouse team is at the heart of this mission, building and maintaining the scalable infrastructure that powers our analytics capabilities. As a Data Engineer on our team, you will design, build, and optimize robust data pipelines that transform raw financial data into valuable business insights. You'll work closely with cross-functional teams to understand data requirements and implement scalable solutions that support our growing data needs. This role offers an exciting opportunity to work with cutting-edge technologies while solving complex data challenges in a fast-paced environment. Key Responsibilities:
Design, develop, and maintain scalable ETL/ELT pipelines for our enterprise data warehouse
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Implement data quality checks and monitoring to ensure accuracy and reliability of data
Optimize existing data workflows for improved performance and efficiency
Build and maintain data models that support analytics and reporting needs
Document data architecture, processes, and workflows
Participate in code reviews and contribute to best practices for data engineering
Support data warehouse operations across development, testing, and production environments
Stay current with emerging technologies and recommend improvements to our data stack
Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, or related field
2+ years of experience in data engineering or similar roles
Strong SQL skills and experience with relational database systems (e.g., PostgreSQL, SQL Server)
Proficiency in Python for data processing and automation
Experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, AWS Glue, dbt)
Familiarity with cloud data platforms (AWS, Azure, or GCP)
Knowledge of data warehousing concepts and dimensional modeling
Experience with version control systems (Git) and CI/CD practices
Strong analytical and problem-solving skills
Excellent communication abilities and team collaboration
Preferred Qualifications:
Experience with data warehouse technologies like Snowflake, Redshift, or BigQuery
Knowledge of Infrastructure as Code (IaC) tools such as Terraform
Experience with stream processing technologies (Kafka, Kinesis)
Familiarity with financial data and systems
Experience with data visualization tools (Tableau, Power BI, Looker)
Knowledge of data governance and compliance requirements in financial services
What We Offer:
Competitive salary and comprehensive benefits package
Flexible work arrangements with hybrid office options in Dallas or Austin
Comprehensive health, dental, and vision insurance
401(k) retirement plan with company match
Professional development opportunities and training resources
Collaborative and innovative work environment
Opportunity to work with cutting-edge data technologies
Career growth potential in a rapidly expanding field
We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.
Compétences idéales
- AWS
- Azure
- GCP
- PostgreSQL
- Python
- SQL
- SQL Server
Expérience professionnelle
- Data Engineer
- Data Infrastructure
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.