Snowflake Data Engineer

Cozentus Technologies; Khordha, Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Cozentus Technologies is seeking a Snowflake Data Engineer in India to design, develop, and optimize data pipelines and data warehouses using Snowflake, dbt, and SQL. The role emphasizes ETL/ELT processes, data modeling, and strong problem-solving skills.

You will collaborate with data analysts and business teams, implement data quality checks, and adhere to best practices for data security, governance, and deployment, while focusing on performance and cost optimization.

Qualifications

• 2-5 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Snowflake.
• Good experience with dbt, including models, tests, snapshots, seeds, and incremental models.
• Strong SQL skills.
• Good understanding of ETL/ELT and Data Warehouse architecture.
• Knowledge of data modeling and dimensional modeling.
• Experience with Git/version control.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
• Develop and maintain data transformation models using dbt.
• Build and optimize ETL/ELT workflows for data loading and transformation.
• Write efficient SQL queries and perform data validation and troubleshooting.
• Develop scalable and reusable data models using dimensional modeling concepts.
• Implement data quality checks, testing, documentation, and monitoring using dbt.
• Optimize Snowflake queries, warehouses, and data models for performance and cost.
• Troubleshoot data pipeline and production issues.
• Collaborate with data analysts, developers, and business teams.
• Follow best practices for data security, governance, Git, and deployment.

Skills

Data engineering

SQL

Data modeling

ETL/ELT

Git version control

Analytical thinking

Tools

Snowflake

dbt

Power BI

Tableau

Git

Job description

Snowflake Data Engineer

We are looking for a Snowflake Data Engineer with 2-5 years of experience in data engineering, data warehousing, and cloud-based data solutions. The ideal candidate should have strong hands-on experience with Snowflake, dbt, SQL, and ETL/ELT processes.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
• Develop and maintain data transformation models using dbt.
• Build and optimize ETL/ELT workflows for data loading and transformation.
• Write efficient SQL queries and perform data validation and troubleshooting.
• Develop scalable and reusable data models using dimensional modeling concepts.
• Implement data quality checks, testing, documentation, and monitoring using dbt.
• Optimize Snowflake queries, warehouses, and data models for performance and cost.
• Troubleshoot data pipeline and production issues.
• Collaborate with data analysts, developers, and business teams.
• Follow best practices for data security, governance, Git, and deployment.

Required Skills

• 2-5 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Snowflake.
• Good experience with dbt, including models, tests, snapshots, seeds, and incremental models.
• Strong SQL skills.
• Good understanding of ETL/ELT and Data Warehouse architecture.
• Knowledge of data modeling and dimensional modeling.
• Experience with Git/version control.
• Strong analytical and problem-solving skills.

Good to Have

• Exposure to AWS/Azure/GCP cloud services.
• Knowledge of Python for data engineering/automation.
• Exposure to data governance and data quality frameworks.
• Experience with Power BI or Tableau.
• Experience working in Agile/Scrum environments.