Data Engineer
Job Location:
New York City, NY - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history SMBC Group offers a diverse range of financial services including banking leasing securities credit cards and consumer finance. The Group has more than 130 offices and 80000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group Inc. (SMFG) is the holding company of SMBC Group which is one of the three largest banking groups in Japan. SMFGs shares trade on the Tokyo Nagoya and New York (NYSE: SMFG) stock exchanges.
In the Americas SMBC Group has a presence in the US Canada Mexico Brazil Chile Colombia and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia the Group offers a range of commercial and investment banking services to its corporate institutional and municipal clients. It connects a diverse client base to local markets and the organizations extensive global network. The Groups operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC) SMBC Nikko Securities America Inc. SMBC Capital Markets Inc. SMBC MANUBANK JRI America Inc. SMBC Leasing and Finance Inc. Banco Sumitomo Mitsui Brasileiro S.A. and Sumitomo Mitsui Finance and Leasing Co. Ltd.
The anticipated salary range for this role is between $73000.00and $98000.00. The specific salary offered to an applicant will be based on their individual qualifications experiences and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive addition to cash compensation SMBC offers a competitive portfolio of benefits to its employees.
We are seeking a Databricks Engineer with AWS expertise to build optimize and maintain our enterprise data Lakehouse this role you will be responsible for designing high-performance data pipelines implementing regulatory and real time reporting along with advanced analytics environments and ensuring seamless integration between Databricks and core AWS services to support real-time financial trading data consumption.
- Lakehouse Architecture: Design and implement robust data pipelines using the Databricks Medallion Architecture (Bronze Silver Gold layers) to process structured and unstructured data.
- Pipeline Automation: Develop scale and orchestrate complex data workflows utilizing Databricks Jobs and Delta Live Tables (DLT).
- Data Ops & CI/CD Deployment: Standardize and automate the deployment of Databricks assets workspace configurations and code pipelines across Dev QA and Production environments.
- AWS Integration: Ensure seamless data cataloging storage and movement across the AWS ecosystem specifically integrating Databricks with Amazon S3 AWS Glue and AWS IAM for secure access control.
- Performance Optimization: Tune Spark clusters optimize Delta Lake storage (e.g. Z-Ordering partitioning) and manage compute costs within the AWS environment.
- Data Governance & Security: Implement fine-grained data access controls data lineage and auditing using Unity Catalog or native cloud security controls.
- Collaboration: Partner with Data Scientists Risk Managers and downstream analytics teams to deliver clean business-ready data views for reporting and AI modeling.
- Professional experience in architectural design and development within the Databricks platform working in an AWS cloud environment.
- CI/CD & DevOps Tooling: Proven proficiency in automated deployments using Databricks Asset Bundles (DABs) Terraform (specifically the Databricks and AWS providers) and standard Git pipelines (e.g. GitHub Actions GitLab CI/CD or AWS CodePipeline).
- Technical Proficiency: Programming skills in Python (PySpark) and SQL for complex data manipulation and transformation.
- Core Concepts: Strong understanding of Apache Spark internals Delta Lake mechanics and streaming data concepts (e.g. interacting with Amazon MSK or Kafka data streams).
- Data Engineering Stack: Proven experience building production-grade ETL/ELT pipelines handling data schema validation and cleansing raw capture feeds.
- Certifications: Databricks Certified Data Engineer Professional or AWS Certified Data Engineer Professional is highly advantageous.
SMBCs employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home as well as from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles including for example certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal state and local law. If you need a reasonable accommodation during the application process please let us know at
Required Experience:
IC
