Posted 23 May, 2026
Snowflake Data Engineer
NR Consulting
PAN India
Full Time
Reference: 365_463738_26-02602
Title: Snowflake Data Engineer
Location: PAN India
Exp: 8+ years
Job Description:
Key Responsibilities
Data Pipeline Development
• Design, build, and optimize ETL/ELT pipelines for ingesting, transforming, and
joining large datasets.
• Develop high-quality code (Python, PySpark, SQL) following best practices and
coding standards.
• Perform pipeline testing, debugging, and performance tuning to ensure
efficiency, scalability, and cost-optimization.
Data Architecture & Modelling
• Create and maintain data schemas, data models (3NF, Star Schema,
Wide/Tall projections) and metadata structures.
• Implement and optimize data warehouse solutions on Snowflake, BigQuery,
Delta Lake, Data Lake systems.
• Work with data governance tools (e.g., Collibra) and maintain data cataloging
standards.
Cloud & DevOps
• Build pipelines using cloud ETL tools (Informatica, AWS Glue, Azure ADF, GCP
DataProc/Dataflow, Airflow).
• Understand infrastructure cost impacts, perform cloud resource optimizations,
monitor usage and ensure SLAs.
• Apply DevOps practices including Git-based version control and CI/CD
processes.
Project Execution & Stakeholder Management
• Interpret business requirements and translate them into technical design and
architecture.
• Support Project Manager in planning, sprint execution, and delivery of assigned
modules.
• Conduct product demos, clarify requirements, and collaborate with customer
architects.
Quality, Testing & Documentation
• Review and create design documents (HLD, LLD, SAD), test cases, infra costing,
STMs, and user documentation.
• Perform RCA, defect prevention, and continuous pipeline reliability
improvement.
• Ensure compliance with engineering standards, security policies, and
configuration management guidelines.
Team Leadership & Contribution
• Mentor junior engineers and guide them on best practices and certification
paths.
• Contribute reusable components, frameworks, templates, and knowledgebase
assets.
• Proactively identify risks, support retention initiatives, and drive team
engagement.
Required Skills & Qualifications
Technical Skills
• Strong hands-on experience in Python (Pandas, PySpark), SQL optimization,
and data manipulation.
• Expertise in ETL tools: Informatica, Airflow, Glue, DataProc, ADF, dbt (nice-to
have).
• Proficiency in Snowflake, including metadata management, RBAC, query
profiling, and cost control.
• Knowledge of data modeling, data warehouse concepts, and performance
tuning.
• Experience building robust pipelines with fault-tolerant architecture and
metadata handling.
• Strong understanding of data security concepts, governance, RBAC, and
compliance.
Cloud Skills
• Hands-on experience in AWS / Azure / GCP (data-specific services).
• Familiarity with Lakehouse, Delta Lake, S3/GCS/ADLS, NoSQL stores, and
distributed data systems.
Soft Skills
• Strong communication skills for interacting with stakeholders and presenting
solutions.
• Experience working in Agile/Scrum environments, participating in ceremonies,
and maintaining scrum artefacts.
• Ability to estimate efforts, manage deliverables, and own end-to-end modules.
Success Metrics (KPIs)
• Adherence to engineering standards and project timelines
• Reduced defects and non-compliance issues
• Faster pipeline performance and resource optimization
• Quick turnaround for production issues
• Completion of required certifications and trainings
• High stakeholder satisfaction and sustained team engagement
Preferred Certifications
• Snowflake, AWS/GCP/Azure Data Engineer, Informatica
• Domain-specific certifications (as required)
Skills
Snowflake, Airflow, DBT, Data Engineering
Location: PAN India
Exp: 8+ years
Job Description:
Key Responsibilities
Data Pipeline Development
• Design, build, and optimize ETL/ELT pipelines for ingesting, transforming, and
joining large datasets.
• Develop high-quality code (Python, PySpark, SQL) following best practices and
coding standards.
• Perform pipeline testing, debugging, and performance tuning to ensure
efficiency, scalability, and cost-optimization.
Data Architecture & Modelling
• Create and maintain data schemas, data models (3NF, Star Schema,
Wide/Tall projections) and metadata structures.
• Implement and optimize data warehouse solutions on Snowflake, BigQuery,
Delta Lake, Data Lake systems.
• Work with data governance tools (e.g., Collibra) and maintain data cataloging
standards.
Cloud & DevOps
• Build pipelines using cloud ETL tools (Informatica, AWS Glue, Azure ADF, GCP
DataProc/Dataflow, Airflow).
• Understand infrastructure cost impacts, perform cloud resource optimizations,
monitor usage and ensure SLAs.
• Apply DevOps practices including Git-based version control and CI/CD
processes.
Project Execution & Stakeholder Management
• Interpret business requirements and translate them into technical design and
architecture.
• Support Project Manager in planning, sprint execution, and delivery of assigned
modules.
• Conduct product demos, clarify requirements, and collaborate with customer
architects.
Quality, Testing & Documentation
• Review and create design documents (HLD, LLD, SAD), test cases, infra costing,
STMs, and user documentation.
• Perform RCA, defect prevention, and continuous pipeline reliability
improvement.
• Ensure compliance with engineering standards, security policies, and
configuration management guidelines.
Team Leadership & Contribution
• Mentor junior engineers and guide them on best practices and certification
paths.
• Contribute reusable components, frameworks, templates, and knowledgebase
assets.
• Proactively identify risks, support retention initiatives, and drive team
engagement.
Required Skills & Qualifications
Technical Skills
• Strong hands-on experience in Python (Pandas, PySpark), SQL optimization,
and data manipulation.
• Expertise in ETL tools: Informatica, Airflow, Glue, DataProc, ADF, dbt (nice-to
have).
• Proficiency in Snowflake, including metadata management, RBAC, query
profiling, and cost control.
• Knowledge of data modeling, data warehouse concepts, and performance
tuning.
• Experience building robust pipelines with fault-tolerant architecture and
metadata handling.
• Strong understanding of data security concepts, governance, RBAC, and
compliance.
Cloud Skills
• Hands-on experience in AWS / Azure / GCP (data-specific services).
• Familiarity with Lakehouse, Delta Lake, S3/GCS/ADLS, NoSQL stores, and
distributed data systems.
Soft Skills
• Strong communication skills for interacting with stakeholders and presenting
solutions.
• Experience working in Agile/Scrum environments, participating in ceremonies,
and maintaining scrum artefacts.
• Ability to estimate efforts, manage deliverables, and own end-to-end modules.
Success Metrics (KPIs)
• Adherence to engineering standards and project timelines
• Reduced defects and non-compliance issues
• Faster pipeline performance and resource optimization
• Quick turnaround for production issues
• Completion of required certifications and trainings
• High stakeholder satisfaction and sustained team engagement
Preferred Certifications
• Snowflake, AWS/GCP/Azure Data Engineer, Informatica
• Domain-specific certifications (as required)
Skills
Snowflake, Airflow, DBT, Data Engineering
