Technical Specialist
Bengaluru · Staff/Principal
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Job description
Job Summary
TECHNICAL JOB DESCRIPTION
• Use Vector Search & Embeddings (Vertex AI), Graph RAG design to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by BigQuery Data Agents (NL2SQL, Gemini Enterprise).
• Use BigQuery architecture, Knowledge Graph to model, ingest, transform, secure, and serve data using the required scope, supported by Enterprise governance sync (Knowledge Catalog, Collibra, Unity Catalog), Azure Databricks.
• Use Multi-Cloud data connectivity (GCP to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Own technical design decisions, code and configuration reviews, and standards for the above tools.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate data sourcing, quality, governance, reporting, and analytical outcomes.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of Data domain standards, compliance expectations, and business processes relevant to this engagement.
Key Responsibilities
TECHNICAL JOB DESCRIPTION
• Use Vector Search & Embeddings (Vertex AI), Graph RAG design to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by BigQuery Data Agents (NL2SQL, Gemini Enterprise).
• Use BigQuery architecture, Knowledge Graph to model, ingest, transform, secure, and serve data using the required scope, supported by Enterprise governance sync (Knowledge Catalog, Collibra, Unity Catalog), Azure Databricks.
• Use Multi-Cloud data connectivity (GCP to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Own technical design decisions, code and configuration reviews, and standards for the above tools.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate data sourcing, quality, governance, reporting, and analytical outcomes.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of Data domain standards, compliance expectations, and business processes relevant to this engagement.
Skill Requirements
- BigQuery architecture,
- Vector Search & Embeddings (Vertex AI),
- Knowledge Graph / Graph RAG design
Secondary Skills
- Enterprise governance sync (Knowledge Catalog, Collibra, Unity Catalog),
- BigQuery Data Agents (NL2SQL / Gemini Enterprise)
- Multi-Cloud data connectivity (GCP, Azure Databricks, Snowflake)
TECHNICAL JOB DESCRIPTION
• Use Vector Search & Embeddings (Vertex AI), Graph RAG design to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by BigQuery Data Agents (NL2SQL, Gemini Enterprise).
• Use BigQuery architecture, Knowledge Graph to model, ingest, transform, secure, and serve data using the required scope, supported by Enterprise governance sync (Knowledge Catalog, Collibra, Unity Catalog), Azure Databricks.
• Use Multi-Cloud data connectivity (GCP to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Own technical design decisions, code and configuration reviews, and standards for the above tools.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate data sourcing, quality, governance, reporting, and analytical outcomes.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of Data domain standards, compliance expectations, and business processes relevant to this engagement.
Other Requirements
TECHNICAL JOB DESCRIPTION
• Use Vector Search & Embeddings (Vertex AI), Graph RAG design to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope, supported by BigQuery Data Agents (NL2SQL, Gemini Enterprise).
• Use BigQuery architecture, Knowledge Graph to model, ingest, transform, secure, and serve data using the required scope, supported by Enterprise governance sync (Knowledge Catalog, Collibra, Unity Catalog), Azure Databricks.
• Use Multi-Cloud data connectivity (GCP to design, provision, configure, migrate, and tune platform components using the required scope.
• Apply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.
• Ensure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.
• Collaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.
• Demonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.
• Maintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.
• Own technical design decisions, code and configuration reviews, and standards for the above tools.
FUNCTIONAL JOB DESCRIPTION
• Analyze and validate data sourcing, quality, governance, reporting, and analytical outcomes.
• Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.
• Facilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.
• Maintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.
• Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
• Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.
• Demonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.
• Bring approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band, with a track record of delivery in similar engagements.
• Apply working knowledge of Data domain standards, compliance expectations, and business processes relevant to this engagement.
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