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À propos
We are seeking a
highly skilled Senior Data Engineer
to join our team in New York City. The ideal candidate will have strong experience in
data engineering, Python development, and modern data platforms . This role involves designing, developing, and maintaining scalable data solutions while working closely with business stakeholders and technical teams.
Location:
New York City, NY (Hybrid - 3 days onsite)
Interview Process:
In-person interview required in NYC.
Note:
Candidates must have
recent Banking / Financial domain experience .
Key Responsibilities Understand and analyze
technical specifications and business requirements . Collaborate with
business analysts and business users
to gather requirements and deliver data solutions. Develop applications and data pipelines using
Python, SQL Server, Snowflake, and Databricks . Design and maintain
data models and schemas
to support data integration and analytics. Implement
data validation and quality checks
to ensure data accuracy and consistency. Perform
Unit Testing (UT) and System Integration Testing (SIT)
with business analysts. Support
User Acceptance Testing (UAT)
with business users. Provide
production support and ongoing maintenance
of data platforms and applications. Required Qualifications
General
12+ years of IT industry experience . Strong
communication and collaboration skills . Experience working in
Agile environments and SDLC processes . Experience with
system design and architecture . Experience working in
global delivery models (onshore/offshore teams) . Strong
analytical and problem-solving skills . Self-driven, collaborative team player able to work with minimal supervision. Technical Skills
Mandatory Skills
Python SQL Server and relational database concepts Azure Databricks Snowflake ETL development Scheduler tools (Autosys / Control-M) CI/CD pipelines Nice to Have
PySpark Experience in
financial systems, capital markets, credit risk, or regulatory applications
Compétences linguistiques
- English
Avis aux utilisateurs
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