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Data and AI Practice Lead
Key Responsibilities Lead technical strategy for enterprise data & AI solutions Guide architecture for data platforms, ML systems, and AI applications Oversee full model lifecycle from development to deployment and monitoring Required Qualifications...7+ years in data architecture, AI/ML solution design, or engineering leadership Strong experience with modern data stacks (e.g., Snowflake, Databricks, BigQuery) Hands-on knowledge of AWS, Azure, or GCP Proven experience designing ML models in production
Data & AI Solutions Architect
Key Responsibilities Lead technical strategy for enterprise data & AI solutions Guide architecture for data platforms, ML systems, and AI applications Oversee full model lifecycle from development to deployment and monitoring Required Qualifications...7+ years in data architecture, AI/ML solution design, or engineering leadership Strong experience with modern data stacks (e.g., Snowflake, Databricks, BigQuery) Hands-on knowledge of AWS, Azure, or GCP Proven experience designing ML models in production
Solutions Architect, Data & AI
Key Responsibilities Lead technical strategy for enterprise data and AI solutions Guide architecture for data platforms, ML systems, and AI applications Oversee full model lifecycle from development to deployment and monitoring Required Qualifications...7+ years in data architecture, AI/ML solution design, or engineering leadership Strong experience with modern data stacks (e.g., Snowflake, Databricks, BigQuery) Hands-on knowledge of AWS, Azure, or GCP Familiar with MLOps tools, model deployment
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Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)
Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)
Snowflake Solutions Architect
Key Responsibilities Lead architectural design for Snowflake-based data platforms Translate business and technical requirements into scalable solutions Define best practices for data modeling, ELT pipelines, and performance optimization Required...Qualifications 8+ years of experience in data engineering or data architecture Proven experience designing and implementing solutions on Snowflake Strong SQL and Python skills Experience with AWS and modern data stack tools (e.g., dbt, Fivetran,
Data Engineer - Snowflake
Responsibilities Lead a team of data engineers on Snowflake-based projects Architect and optimize scalable ELT pipelines and data models Translate business needs into technical plans and coordinate execution Required Qualifications 8+ years of experience in data...engineering or data architecture Strong hands-on experience with Snowflake, including performance tuning and data modeling Proven leadership experience, ideally in a team lead or staff engineer role Advanced SQL and Python skills Familiarity with
Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)
Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)
Data Engineer
best practices and code quality Required Qualifications 10+ years in data engineering or related roles Experience leading technical teams or projects Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks Deep understanding of data...architecture and pipeline design Fluent in English (spoken and written)