Simelabs
Website:
simelabs.com
Job details:
Responsibilities:
· Design, develop, and maintain Snowflake-based data solutions, including data warehouses and data marts
· Build and optimize ELT pipelines using Snowflake features such as Tasks, Streams, Stored Procedures, and Snowpipe
· Ingest and transform data from multiple sources using cloud storage stages and Snowflake ingestion mechanisms
· Develop and maintain analytics-ready data models following dimensional modeling best practices
· Optimize performance and cost through query tuning, clustering strategies, and warehouse sizing
· Implement data security and governance using role-based access control, masking, and row-level policies
· Use Dataiku for data preparation, orchestration, and automation where applicable
· Develop and support data visualization and reporting solutions using tools such as Qlik and Power BI
· Apply programming skills in Python for data processing, automation, and pipeline development
· Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical solutions
· Ensure data quality, reliability, and proper documentation across data pipelines and platforms
· Support CI/CD practices and version control for Snowflake development
Requirements:
· Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
· 3–5+ years of experience in data development or data engineering roles
· Strong hands-on experience with Snowflake, including advanced SQL, Tasks, Streams, Stored Procedures, and Snowpipe
· Solid experience designing and building ELT/data pipelines in cloud environments
· Strong understanding of data modeling concepts (star schema, dimensional modeling)
· Experience working with cloud platforms such as AWS, Azure, or GCP
· Good understanding of data security and access control, including role-based access control (RBAC)
· Proficiency in data visualization and reporting tools such as Qlik or Power BI
· Working knowledge of Python for data processing, scripting, and automation
· Familiarity with version control and CI/CD practices (e.g., Git, Jenkins or similar tools)
· Strong analytical, problem-solving, and performance-tuning skills
· Ability to communicate effectively with both technical and non-technical stakeholders
Preferred Qualifications:
· Experience using Dataiku for data preparation, pipeline orchestration, or automation
· Exposure to modern ELT and analytics tools such as dbt, Airflow, Informatica, Talend, or similar platforms
· Experience implementing CI/CD pipelines for data platforms and Snowflake objects
· Familiarity with infrastructure-as-code or automation tools (e.g., Terraform) for cloud data environments
· Experience working in enterprise, multi-region, or global delivery environments
· Understanding of data governance, data quality frameworks, and cost optimization in cloud data platforms
· Relevant certifications in Snowflake, cloud platforms (AWS/Azure/GCP), or data engineering are a plus
Click on Apply to know more.