Snowflake Developer with SSIS

N Consulting Limited; Poland; On-site; USD 221,400 - 239,850; Full time

Job summary

N Consulting Limited is looking for a Snowflake Developer with SSIS in a remote contract role. The ideal candidate will have extensive experience in data modeling and ETL processes with Snowflake, SQL proficiency, and familiarity with Azure DevOps. Responsibilities include designing ETL pipelines, optimizing data models, and working closely with stakeholders to meet data requirements. The contract duration is expected to be 6-12 months, offering a competitive daily rate.

Qualifications

• Proven experience as a Snowflake Developer with hands-on Snowflake experience.
• Strong understanding of Snowflake platform features, including micro-partitioning.
• Proficiency in writing complex SQL queries and stored procedures.

Responsibilities

• Design, develop, and optimize data models and ETL processes using Snowflake.
• Implement end-to-end ETL pipelines for data loading from various sources.
• Collaborate with data architects and business stakeholders for data requirements.

Skills

Data Modeling

ETL Processes

Snowflake

SQL

Python

SSIS

Azure DevOps

Data Migration

Tools

DBT

Talend

Informatica

CloudFormation

Terraform

Job description

LocationPoland, Poland# Snowflake Developer with SSIS at N Consulting LtdLocationPoland, PolandSalaryzł1200 - zł1300 /dayJob TypeContractDate PostedApril 23rd, 2026Apply Now**Role:** Snowflake Developer with SSIS**Location:** Poland (Remote)**Contract Role :** 6-12 months contract P**rimary Skillset:*** Data Modeling & ETL: Design, develop, and optimize data models and ETL processes using Snowflake for efficient data storage and analytics.* Design and implement end-to-end ETL pipelines for loading data from various sources into Snowflake.* Utilize Snowflake’s built-in features such as tasks, streams, and Snowpipe to automate the ETL process for continuous and batch data loads.* Implement data transformation logic using SQL, Snowflake Stored Procedures (SQL and Python), and ETL tool to ensure the integrity, accuracy, and consistency of data.* Optimize data loads and transformations for scalability and performance using Snowflake’s micro-partitioning and clustering features.* Optimize and tune Snowflake queries, Data Storage, Warehouse for performance and efficiency.* Migration & Integration: Experience with data migration, particularly from SQL Server to Snowflake, and integrating Snowflake with other data sources.* Collaborate with data architects and business stakeholders to understand data requirements.* Develop and maintain documentation for data processes and solutions.* Ensure data quality, governance, and security within the Snowflake environment.* Troubleshoot and resolve issues related to the Snowflake data warehouse.* Stay updated with the latest Snowflake features and best practices.* API Integrations: Work on integrating Snowflake with external APIs for seamless data extraction and transfer.* Design, develop, and maintain SSIS ETL packages for complex data integration and transformation requirements.* Support existing SSIS packages during US off-hours* Make updates to SSIS packages to add additional fields to be extracted **DevOps Integration - Secondary*** Azure DevOps Experience: Proficiency with Azure DevOps for:* Source control management* Automating deployments* Deploying Snowflake scripts across different environments* Managing ETL pipeline deployments* Proficiency in DevOps tools and best practices, with experience deploying Snowflake and ETL tool services. **Qualifications:*** Proven experience as a Snowflake Developer with hands-on experience in Snowflake data warehousing solutions.* **Data Architecture:** Strong understanding of Snowflake platform features, including micro-partitioning, file processing from AWS S3, and data quality practices.* Expertise in writing and optimizing SQL queries, including complex queries, CTEs, and stored procedures (using JavaScript within Snowflake).* Solid experience in working with Snowflake’s micro-partitioning, file processing from AWS S3, and optimizing data models.* Strong knowledge of Python for data engineering tasks and automation.* Background in data migration, specifically from SQL Server to Snowflake.* Familiarity with designing and managing data pipelines and ETL processes.* Excellent communication skills and the ability to collaborate effectively with cross-functional teams. **Preferred Skills:*** Experience in using the ETL tools like **DBT/SnapLogic/Talend/Informatica/Fivetran** for building ETL pipelines, testing, and deploying transformation models. **DBT/SnapLogic** is preferred.* **Snowpark for Python/Scala:** Strong knowledge of Snowpark for building scalable data pipelines and implementing advanced analytics workloads.* Hands-on experience with AWS services and DevOps tools (e.g., CloudFormation, Terraform) for deploying AWS resources such as Lambda, SQS, and SNS.* Familiarity with legacy Microsoft SQL platforms and integrating these with modern cloud-based data solutions.* Strong problem-solving skills and the ability to thrive in a collaborative and fast-paced environment.