What are the responsibilities and job description for the Senior Data Engineer position at BrickRed Systems?
We are seeking a Senior Data Engineer with strong expertise in SQL, Databricks, Spark, Python, and Snowflake to support enterprise data initiatives. The ideal candidate has experience in financial services and can design, optimize, and maintain large-scale data systems while ensuring data quality, security, and performance.
Key Responsibilities
- Design and implement database management systems, standards, and guidelines.
- Develop and maintain data pipelines, ETL workflows, and data models.
- Build reports, dashboards, and user-facing data solutions.
- Ensure data quality, security, and governance across platforms.
- Collaborate with cross-functional teams to adapt business requirements into technical solutions.
- Optimize performance for large-scale data storage and relational models.
- Participate in quality assurance, testing, and performance tuning of data applications.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 8 years of experience in data engineering (finance industry experience preferred).
- Advanced proficiency in SQL (must have strong hands-on expertise).
- Skilled in Databricks, Spark, Python, and Snowflake.
- Strong knowledge of data modeling, relational databases, and ETL processes.
- Ability to work independently in a fast-paced environment while managing multiple priorities.
About BrickRed Systems:
BrickRed Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. BrickRed Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence.
With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Salary : $60 - $66
