Job SummaryTECHNICAL 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 robust 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 ResponsibilitiesTECHNICAL 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 RequirementsTECHNICAL 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.

📌 Technical Specialist (India)
🏢 HCL Technologies
📍 India