Join our team and be part of a dynamic environment where your expertise in data engineering will drive meaningful insights and innovation for our organization. Apply now to embark on an exciting journey of leveraging data to make informed decisions and shape the future of our business.

Job Overview

As a Data Engineer, you will play a pivotal role in our organization's data infrastructure and analytics initiatives. You will be responsible for designing, constructing, and maintaining scalable data pipelines and systems for optimal data ingestion, transformation, storage, and retrieval. The ideal candidate will have background in database management, data architecture and data engineering, with a focus on reliability, efficiency, and scalability.

Responsibilities

• Design, develop, and maintain robust, scalable data pipelines and ETL processes to support data ingestion, transformation, and loading from various sources into our data warehouse or data lake.
• Collaborate with cross-functional teams to understand data requirements, define data models, and implement solutions that address business needs.
• Optimize data processing and storage systems for performance, reliability, and cost-effectiveness.
• Implement data quality checks, validation processes, and monitoring mechanisms to ensure data accuracy, completeness, and integrity.
• Evaluate and implement new technologies, tools, and frameworks to enhance our data infrastructure and capabilities.
• Document data architecture, processes, and workflows to facilitate knowledge sharing and collaboration within the team.
• Stay updated on emerging trends, best practices, and technologies in the field of data engineering and analytics.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Information Systems, or a related field.
• Proven experience 2-3 years working as a Data Engineer or in a similar role, preferably in a fast-paced and dynamic environment.
• In-depth knowledge of relational databases (e.g., SQL Server, PostgreSQL, MySQL) along with proficiency in SQL and database design principles.
• Hands-on experience with Microsoft SQL Server Data tools (SSDT) such as Integration Services (IS) packages, Analysis Services (AS) data models , Reporting Services (RS) reports.
• Excellent problem-solving skills, analytical thinking, and attention to detail with the ability to troubleshoot complex data issues and performance bottlenecks.
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Desirable to have hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including services like S3, Redshift, BigQuery, Dataflow, or Databricks.

At Squared Financial, we're seeking passionate individuals to join our dynamic team and contribute to innovative solutions in finance. If you're ready to embark on a rewarding journey and make a meaningful impact, we encourage you to apply by sending your resume to careers@sqfin.com.