Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
We are looking for a bright and exceptional Data Engineer to join our Technology team. In this role, you will be part of our Data Engineering team, working with product managers and subject matter experts to design, build, and optimize scalable data pipelines for our Data Platform. The ideal candidate has strong hands-on experience in distributed data processing and operational skills to drive efficiency and speed.
What you will do:
- Build and support connectors and data pipelines for data ingestion and processing on the in-house data platform to meet business requirements.
- Demonstrate strong SQL skills to write complex transformations.
- Demonstrate deep knowledge in Python and PySpark to code ETL blocks for the data pipelines.
- Troubleshoot and optimize ETL pipelines to minimize execution overheads.
- Drive improvements in performance, reliability, and scalability of data pipelines.
- Mentor other team members.
What you will need:
- Bachelor's degree in computer science, math, or other technical fields.
- 2-4 years of relevant experience.
- Fintech domain experience is a plus.
- Experience building pipelines and ingesting data from APIs, SFTP, Databases, etc.
- Strong proficiency in Python and PySpark for data engineering tasks.
- Ability to write complex queries for data transformations and analysis.
- Basic understanding of data modeling and data warehousing.
- Experience with the AWS stack, especially with AWS Glue, Athena, and AWS Lambda, is a plus.
- Familiarity with Airflow, ADF, Glue Workflow, etc.
- Demonstrated contribution to end-to-end delivery of enterprise-grade software.
- Solid understanding of CI/CD, version control, and DevOps practices.
- Excellent problem-solving and troubleshooting skills.
- Proven track record for working in an agile and collaborative environment.
Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from all qualified individuals.
Top Skills
What We Do
Arcesium is a global financial technology and professional services firm, delivering post-investment and enterprise data management solutions to some of the world's most sophisticated financial institutions, including hedge funds, banks, institutional asset managers, and private equity firms. Expertly designed to achieve a single source of truth throughout a client's ecosystem, Arcesium's cloud-native technology is built to systematize the most complex workflows and help clients achieve scale.
Building on a platform developed and tested by investment and technology development firm, the D. E. Shaw group, Arcesium was launched as a joint venture with Blackstone Alternative Asset Management. J.P. Morgan, another large client, later joined as our third partner. Today, Arcesium services over $679 billion in global client AUM with a staff of over 1,500 software engineering, accounting, operations, and treasury professionals.
