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Qode

SQL Developer

Qode, Jersey City, New Jersey, United States, 07390

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Job Description:

We are seeking a highly skilled

SQL Developer with strong expertise in Snowflake

to join our team supporting DTCC in New Jersey. The ideal candidate will have hands-on experience in database development, data modeling, ETL/ELT processes, and performance tuning, with a primary focus on

Snowflake Data Cloud . This role requires close collaboration with business stakeholders, data engineers, and BI teams to deliver scalable and efficient data solutions. Key Responsibilities:

Design, develop, and maintain SQL queries, stored procedures, and data pipelines in

Snowflake .

Build and optimize

ETL/ELT workflows

for data ingestion, transformation, and integration.

Develop and maintain

data models, schemas, and views

to support analytics and reporting needs.

Implement best practices for

performance tuning

and

query optimization

in Snowflake.

Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

Ensure data quality, security, and compliance with DTCC standards.

Work on migration of existing data structures and processes from traditional databases to Snowflake.

Create and maintain

technical documentation

for database processes and solutions. Required Skills & Experience:

5+ years of experience as an

SQL Developer / Database Developer .

Strong expertise in

Snowflake Data Warehouse

development.

Proficiency in

advanced SQL programming

(queries, joins, indexing, stored procedures, functions).

Hands-on experience with

ETL/ELT tools

(Informatica, Talend, dbt, or equivalent).

Experience with

data modeling

and

schema design

(Star, Snowflake schema).

Knowledge of

cloud platforms (AWS/Azure/GCP)

in relation to Snowflake.

Experience with

performance tuning and query optimization .

Strong problem-solving and analytical skills.

Excellent communication and collaboration skills. Nice to Have:

Experience in

financial services or capital markets

domain.

Familiarity with

Python, Spark, or other scripting languages

for data transformation.

Exposure to

reporting/BI tools

(Power BI, Tableau, Qlik).

Knowledge of

data governance and security practices .