Job ID:
J51153
Job Title:
Snowflake AND Matillion ETL Developer
Location:
New York, NY
Duration:
24 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Job Summary:
We are seeking an experienced Snowflake + Matillion ETL Developer / Data Engineer to design, develop, and optimize cloud-based data pipelines and analytics solutions. The ideal candidate will have deep expertise in Snowflake Data Warehouse, Matillion ETL, AWS data services, and data modeling (Facts, Dimensions, SCD Type 2). This role involves building reliable, scalable, and high-performance data integration solutions that power business insights and reporting.
Key Responsibilities:
Design, develop, and deploy ETL/ELT pipelines using Matillion ETL and Snowflake for data ingestion, transformation, and analytics.
Build and maintain Matillion architecture including orchestration jobs, transformation workflows, and variable management.
Create and manage Snowflake objects databases, schemas, tables, views, streams, tasks, and stored procedures.
Implement data validation, cleaning, and transformation to ensure data accuracy, completeness, and consistency.
Design and maintain data warehouse models (Star/Snowflake schema) including Slowly Changing Dimensions (SCD Type 2).
Integrate data from multiple sources such as AWS S3, RDS, Redshift, and APIs using Matillion and Python connectors.
Optimize SQL queries, transformations, and Snowflake workloads for performance and cost efficiency.
Collaborate with data architects, BI developers, and DevOps teams to implement CI/CD pipelines (Git, Jenkins, GitHub Actions).
Monitor ETL processes, troubleshoot issues, and ensure on-time delivery of reliable data pipelines.
Apply data governance, quality, and security best practices across all environment
Required Skills & Experience:
8 10 years of overall IT experience with 4+ years in Snowflake Data Engineering and 3+ years in Matillion ETL.
Strong proficiency in SQL and Snowflake scripting (Streams, Tasks, Procedures, Performance Tuning).
Expertise in Matillion ETL job design, orchestration, and optimization.
In-depth understanding of data modeling concepts Facts, Dimensions, Hierarchies, and SCD Type 2.
Experience with AWS data services such as S3, Glue, Lambda, and Redshift.
Proficiency in Python for data transformations and automation.
Hands-on experience with CI/CD pipelines and Git-based version control systems.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications:
SnowPro Core Certification or Matillion Associate Certification.
Experience with BI tools (Tableau, Power BI, Looker) for data validation and visualization.
Familiarity with Airflow or AWS Step Functions for orchestration.
Understanding of data lake architecture, real-time streaming, and data governance frameworks.
MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract