{"id":3879303,"url":"https://alion.io/job/infocepts-senior-data-engineer-snowflake-cortex-aws-glue-2","title":"Senior Data Engineer Snowflake Cortex AWS Glue","company":{"id":2534381,"name":"Infocepts","domain":"infocepts.com","url":"https://alion.io/company/infocepts-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nagpur, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS Glue","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-11-06T17:25:37Z","employer_posted_date":null,"last_verified_at":"2026-11-06T17:25:37Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Position: Lead Data Engineer (Snowflake)\nPurpose of the Position:\nTo lead the data engineering team in architecting and delivering enterprise-scale Snowflake solutions for retail analytics, ensuring alignment with strategic business goals and modernization initiatives. he role will also drive Snowflake Cortex AI development, building AI agents and GenAI use cases that turn governed retail data into conversational, insight-driven experiences for business users.\nLocation: Pune/ Bangalore/Chennai/ Nagpur\n\nKey Result Areas and Activities: \n\nData Pipeline Development: Drive ingestion and transformation of multi-source retail data (MMS, CRM, Workday, Courion etc).\nArchitecture Leadership: Define and implement Snowflake architecture for multi-layered retail data processing.\nETL Strategy: Lead migration strategy from Talend to AWS Glue, ensuring automation and scalability.\nETL Development: Build and optimize ETL workflows using Talend, AWS Glue and SQL stored procedures.\nStrategic Alignment: Align data engineering practices with retail business priorities (sales, customer, workforce, inventory)\nData Modelling: Create and maintain Snowflake tables and layered views for business consumption.\nCortex Agent Creation: Build, configure and deploy Cortex Agents that use Cortex Analyst (semantic models/views) for structured data and Cortex Search for unstructured content, with Streamlit in Snowflake as the user-facing conversational interface.\nCortex Use-Case Delivery: Identify, prototype, and take Cortex use cases from POC to production (e.g., natural-language sales/inventory insights, product review and customer feedback analysis, document intelligence, demand forecasting).\nAI Readiness & Semantic Layer: Prepare AI-ready data foundations, including semantic models, curated views and metadata, so Cortex-based solutions give accurate, trusted responses.\nData Governance: Implement standards for lineage, documentation, and compliance.\nCollaboration: Coordinate with team members, work closely with data analysts, business stakeholders, and regulatory teams to understand data needs and deliver solutions.\nPerformance Optimization: Ensure efficient query performance, storage management and cost-effective data processing in Snowflake.\nDocumentation & Governance: Maintain clear documentation of data models, transformations, and lineage to support audit and compliance requirements.\nTeam Leadership: Mentor and manage engineers across different levels, ensuring delivery 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