Snowflake Developer with SSIS
Role: Snowflake Developer with SSIS
Location: Poland (Remote)
Contract Role : 6-12 months contract
Primary 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.
Salary: 1200 - 1300 PLN Per day
Apply To This Job
Location: Poland (Remote)
Contract Role : 6-12 months contract
Primary 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.
Salary: 1200 - 1300 PLN Per day
Apply To This Job