Data Engineer

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 1 hour ago

Vacancies: 1 Vacancy

Job Summary

Role : Data Engineer

Location : New York City NY (Onsite)

Term : W2/Full Time

Job Description

Tech skill sets: Data Architecture Data Modelling Expert level SQL Python AWS Technologies (Glue) Snowflake and data engineering design patterns

Mandatory Domain: Asset management Alternatives Investments Financial Services.

About the Role:

We are seeking an experienced Lead Data Engineer / Data Architect to spearhead the design development and implementation of our enterprise data platform. This role will be instrumental in shaping and driving our data engineering roadmap ensuring scalability performance and innovation. The ideal candidate combines deep technical expertise with strong leadership skills and a solid understanding of financial services data domains.

Key Responsibilities:

Lead the data architecture and engineering strategy ensuring alignment with business and technology roadmaps.
Design and implement data models pipelines and data integration frameworks across multiple platforms.
Partner with stakeholders to translate business requirements into scalable data solutions.
Performance Optimization: Optimize data pipelines for performance scalability and reliability including query tuning and resource management within Snowflake.
Drive adoption of best practices in data engineering design patterns and modern cloud architectures.
Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
Collaboration and Communication: Work closely with project managers data architects and business analysts to align project milestones and deliverables with business goals.
Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes.
Ensure compliance with data governance security and privacy standards.
Documentation: Create and maintain detailed documentation of data pipelines data flow diagrams and transformation logic.
Issue Resolution: Troubleshoot and resolve issues related to data pipelines including job failures and performance bottlenecks.

Required Qualifications:

Bachelors degree in Computer Science Information Technology or a related field.
8 years of experience in data engineering with a strong focus on Data Architecture Data Modelling (Conceptual Logical Physical) ELT processes and data pipeline development.
Hands-on experience with Snowflake cloud data platform including data sharing secure views and performance optimization.
Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
AWS Technologies (Glue EMR)
Python for data engineering workflows
Strong understanding of data engineering design patterns
Strong problem-solving skills and the ability to work independently to meet deadlines.
Excellent communication skills for effectively interacting with technical and non-technical stakeholders.

Preferred Qualifications:

Certifications in Snowflake or relevant data technologies.
Experience in the financial services sector especially asset management / alternative investments with an understanding of data security and compliance requirements.
Familiarity with cloud platforms (e.g. AWS Azure) and data orchestration tools (e.g. Apache Airflow).
Knowledge of data visualization tools (e.g. Tableau Power BI).

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting AI/ML Data Analytics & Visualization Cloud Data Warehouse Migration Snowflake Implementation Informatica Implementation & Upgrade Staffing Services and Data Management Solutions

Role : Data Engineer Location : New York City NY (Onsite) Term : W2/Full Time Job Description Tech skill sets: Data Architecture Data Modelling Expert level SQL Python AWS Technologies (Glue) Snowflake and data engineering design patterns Mandatory Domain: Asset management Alternatives I...