Job Summary

Key Responsibilities

• Design, develop, and maintain DBT models, macros, snapshots, seeds, and tests.
• Build and optimize ELT pipelines using DBT and cloud data warehouse platforms.
• Develop dimensional and data vault models to support business analytics.
• Create reusable, scalable, and maintainable SQL transformation logic.
• Implement data quality checks, validation rules, and automated testing.
• Collaborate with Data Engineers, Architects, Analysts, and Product Owners to gather requirements and deliver solutions.
• Optimize Snowflake query performance, warehouse utilization, and DBT execution.
• Integrate DBT deployments with Git-based CI/CD pipelines.
• Maintain metadata, documentation, lineage, and technical design artifacts.
• Troubleshoot production issues and support data operations activities.

Mandatory Skills

• 5–8 years of Data Engineering experience.
• Strong hands-on experience with DBT (Core and/or Cloud).
• Advanced SQL programming and query optimization.
• Experience with Snowflake data warehouse.
• Strong understanding of Data Modeling (Star Schema, Snowflake Schema, Data Vault).
• Experience with ETL/ELT development and data transformation frameworks.
• Working knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Git, CI/CD, and Agile methodologies.
• Strong analytical, debugging, and problem-solving skills.

Key Responsibilities

1. Lead and manage technical teams in the development and implementation of snowflake data solutions.
2. Design, build, and optimize data models using snowflake and dbt for efficient data processing.
3. Develop and optimize sql queries for data extraction, transformation, and loading processes.
4. Utilize python for scripting and automation of data processes and workflows.
5. Collaborate with cross functional teams to understand data requirements and ensure the successful delivery of technical solutions.
6. Conduct code reviews, provide technical guidance, and mentor team members to enhance overall technical capabilities.
7. Troubleshoot technical issues and provide resolutions in a timely manner to ensure smooth project execution.

Skill Requirements

1. Proficiency in snowflake for data warehousing and cloud data platform.
2. Experience with dbt (data build tool) for data transformation and modeling.
3. Strong command of sql for querying and manipulating data in databases.
4. Proficient in python programming for scripting, automation, and data manipulation.
5. Excellent problem-solving skills and the ability to communicate effectively with technical and nontechnical stakeholders.
6. Strong leadership skills to effectively lead and motivate technical teams towards project success.

Other Requirements

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