Data Engineer – Snowflake & Cortex AI

Data Engineer – Snowflake & Cortex AI

Job Description – Data Engineer Role Summary We are looking for a skilled Data Engineer to design, build, and optimize modern cloud-based data pipelines and analytics solutions. The ideal candidate will develop scalable data ingestion and transformation pipelines, implement entity resolution in Snowflake, and configure Cortex AI capabilities to enable trusted, AI-ready data for analytics and business applications. Key Responsibilities Develop and maintain data ingestion pipelines using Fivetran. Build and optimize data transformation workflows using Coalesce. Design and implement scalable data models in Snowflake. Develop entity resolution and data matching solutions in Snowflake. Configure and optimize Snowflake Cortex Analyst and Cortex Search for AI-powered analytics. Ensure data quality, integrity, governance, and security across data pipelines. Integrate data from multiple enterprise systems and third-party sources. Optimize pipeline performance, reliability, and cost efficiency. Collaborate with architects, analysts, and business stakeholders to deliver data solutions. Monitor, troubleshoot, and resolve data pipeline and platform issues. Document data architecture, workflows, and technical specifications. Support CI/CD, testing, and deployment of data engineering solutions. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. 4+ years of experience in data engineering and cloud data platforms. Hands-on experience with Snowflake, Fivetran, and Coalesce. Strong knowledge of SQL and data modeling techniques. Experience building ELT/ETL pipelines and data integration solutions. Familiarity with Snowflake Cortex features, including Cortex Analyst and Cortex Search. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of data governance, security, and data quality best practices. Strong analytical, troubleshooting, and problem-solving skills. Preferred Qualifications Experience with Python for data engineering and automation. Knowledge of dbt, Airflow, or similar orchestration tools. Experience with data lakes, streaming, or real-time data processing. Familiarity with AI/ML data preparation and vector search concepts. Snowflake or cloud certifications are preferred. Technical Skills Data Platform: Snowflake Data Integration: Fivetran, Coalesce Programming: SQL, Python Cloud: AWS, Azure, or Google Cloud AI Features: Snowflake Cortex Analyst, Cortex Search Data Engineering: ELT/ETL, Data Modeling, Data Quality, Entity Resolution DevOps: Git, CI/CD Key Competencies Data Engineering & Pipeline Development Cloud Data Platform Expertise Data Modeling & Performance Optimization Data Governance & Security Analytical & Problem-Solving Skills Collaboration & Communication Quality and Delivery Focus

Official Taleo metadata: primary skills Snowflake^Python; primary location Pune; other locations Mumbai; employment Permanent; posted Aug 6, 2026, 9:30:00 AM.