Azure Date Engineer

ü Must be local to NYC and Central NJ – no relocations

ü In-person interview is a MUST

ü 100% Onsite

ü USC and GC Only

100% Onsite | In-person Interview | Must be local to NYC or Central NJ, and provide residency proof

Job Title: Azure Date Engineer with Snow Flake and SQL with

Work Location: 100% Onsite – NYC or Iselin, NJ 08830

Interview Mode: In-person Interview

Duration: 12 months

Visa: USC and GC Only

Client is seeking an experienced Data Engineer with a strong background in Snowflake and SQL . The ideal candidate will be responsible for developing, optimizing, and maintaining our Snowflake data warehouse environment to support financial data analysis and reporting needs. The role requires a deep knowledge of Snowflake's unique capabilities, as well as proficiency in advanced SQL techniques and a comprehensive understanding of financial data.

Required Skills and Experience

Must have financial client project experience

Must have good knowledge of financial industry standards , regulatory requirements , and data security protocols .

Proven 8+ years of experience in Snowflake data warehousing development

Strong expertise in SQL and SQL Query optimization

Strong knowledge of data warehousing concepts and best practices.

Good with Snowflake's architecture , features, and best practices.

Experience with Data modeling , ETL development , and data integration techniques.

Experience with Azure Data Factory ( ADF ) and other Azure Services.

Proficiency in Python and PySpark for data processing and automation.

Nice to have - relevant certifications such as the Snowflake SnowPro Core Certification.

Preferred Qualifications

• Hands-on experience with cloud migration projects.

• Experience in data governance, data security, and data quality management.

• Ability to work independently, manage multiple tasks, and drive projects to completion

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

• Key Responsibilities

• Design, build, and maintain scalable and efficient Snowflake data warehouse solutions tailored for financial industry applications.

• Develop complex SQL queries, stored procedures, and scripts for data manipulation and retrieval.

• Optimize Snowflake performance through effective data modeling, partitioning, and indexing strategies.

• Collaborate with financial analysts and business stakeholders to understand data requirements and deliver precise reporting and analytical solutions.

• Ensure data integrity and security within the Snowflake environment, complying with industry regulations and standards.

• Manage data migration projects from legacy systems to Snowflake, ensuring minimal disruption to business operations.

• Provide technical expertise and support for Snowflake to internal teams, including troubleshooting and resolving issues.

• Stay up to date with Snowflake features and updates, continuously improving and expanding our data warehouse capabilities.

• Develop and maintain documentation for Snowflake processes, systems, and procedures.