Noida, Uttar Pradesh
Job Summary
Senior Data Engineer Consultant
Role Summary
Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products. The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery.
Core Responsibilities
Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
Comfortable using AI to develop using specs - design, code, build and review production grade pipelines.
Required Technical Skills
Platforms
Snowflake; Azure Data Factory; Azure Data Lake Storage
Engineering
Advanced SQL; Python; ETL/ELT; pipeline orchestration
Architecture
Data warehousing; dimensional modeling; medallion architecture
Operations
Performance tuning; data quality; observability; production support
Delivery
Git; CI/CD; automated testing; Agile delivery
Experience and Delivery Profile
10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
Demonstrated focus on automation, scalability, maintainability, and measurable business value.
Preferred Experience
Power BI, semantic modeling, or analytics enablement.
Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
AI-assisted development, agentic workflows, and modern data product architectures.
Commercial, customer, quality, field-service, or operational reporting data products.
Engagement Details
Duration: 4 months with potential to extend into 2027.
Capacity: Full-time, approximately 40 hours per week
Location: One consultant in the United States (U.S. citizenship required) and one consultant in India
Working Model: Regular overlap with US business hours for Agile ceremonies, design reviews, and stakeholder collaboration
Key Responsibilities
Senior Data Engineer Consultant
Role Summary
Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products. The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery.
Core Responsibilities
Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
Comfortable using AI to develop using specs - design, code, build and review production grade pipelines.
Required Technical Skills
Platforms
Snowflake; Azure Data Factory; Azure Data Lake Storage
Engineering
Advanced SQL; Python; ETL/ELT; pipeline orchestration
Architecture
Data warehousing; dimensional modeling; medallion architecture
Operations
Performance tuning; data quality; observability; production support
Delivery
Git; CI/CD; automated testing; Agile delivery
Experience and Delivery Profile
10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
Demonstrated focus on automation, scalability, maintainability, and measurable business value.
Preferred Experience
Power BI, semantic modeling, or analytics enablement.
Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
AI-assisted development, agentic workflows, and modern data product architectures.
Commercial, customer, quality, field-service, or operational reporting data products.
Engagement Details
Duration: 4 months with potential to extend into 2027.
Capacity: Full-time, approximately 40 hours per week
Location: One consultant in the United States (U.S. citizenship required) and one consultant in India
Working Model: Regular overlap with US business hours for Agile ceremonies, design reviews, and stakeholder collaboration
Skill Requirements
Senior Data Engineer Consultant
Role Summary
Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products. The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery.
Core Responsibilities
Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
Comfortable using AI to develop using specs - design, code, build and review production grade pipelines.
Required Technical Skills
Platforms
Snowflake; Azure Data Factory; Azure Data Lake Storage
Engineering
Advanced SQL; Python; ETL/ELT; pipeline orchestration
Architecture
Data warehousing; dimensional modeling; medallion architecture
Operations
Performance tuning; data quality; observability; production support
Delivery
Git; CI/CD; automated testing; Agile delivery
Experience and Delivery Profile
10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
Strong problem-solving, communication, and stakeholder collaboration skills in a quick-paced global environment.
Demonstrated focus on automation, scalability, maintainability, and measurable business value.
Preferred Experience
Power BI, semantic modeling, or analytics enablement.
Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
AI-assisted development, agentic workflows, and modern data product architectures.
Commercial, customer, quality, field-service, or operational reporting data products.
Engagement Details
Duration: 4 months with potential to extend into 2027.
Capacity: Full-time, approximately 40 hours per week
Location: One consultant in the United States (U.S. citizenship required) and one consultant in India
Working Model: Regular overlap with US business hours for Agile ceremonies, design reviews, and stakeholder collaboration
Other Requirements
Senior Data Engineer Consultant
Role Summary
Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products. The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery.
Core Responsibilities
Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
Comfortable using AI to develop using specs - design, code, build and review production grade pipelines.
Required Technical Skills
Platforms
Snowflake; Azure Data Factory; Azure Data Lake Storage
Engineering
Advanced SQL; Python; ETL/ELT; pipeline orchestration
Architecture
Data warehousing; dimensional modeling; medallion architecture
Operations
Performance tuning; data quality; observability; production support
Delivery
Git; CI/CD; automated testing; Agile delivery
Experience and Delivery Profile
10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
Demonstrated focus on automation, scalability, maintainability, and measurable business value.
Preferred Experience
Power BI, semantic modeling, or analytics enablement.
Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
AI-assisted development, agentic workflows, and modern data product architectures.
Commercial, customer, quality, field-service, or operational reporting data products.
Engagement Details
Duration: 4 months with potential to extend into 2027.
Capacity: Full-time, approximately 40 hours per week
Location: One consultant in the United States (U.S. citizenship required) and one consultant in India
Working Model: Regular overlap with US business hours for Agile ceremonies, design reviews, and stakeholder collaboration
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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India