Data engineer (DBT, Snowflake)

Job Description

Data Engineer (DBT, Snowflake)

Additionally, you will be responsible for ensuring data quality and reliability, enabling our teams to derive insights that drive business performance. Your expertise will help our organization leverage Snowflake's cloud data platform to scale data processing and analytics, ensuring that we remain competitive in a fast-evolving market.

Key Responsibilities:

• Design and implement robust data pipelines using DBT and Snowflake.
• Collaborate with analytics and data science teams to understand data requirements.
• Develop and manage ETL processes to extract, transform, and load data efficiently.
• Maintain and optimize existing data models and pipelines for performance and reliability.
• Ensure data quality by implementing verification and validation checks.
• Perform data transformations and aggregation using SQL and other tools.
• Work on performance tuning for data processing jobs.
• Document data engineering practices, procedures, and workflows for team reference.
• Participate in code reviews to ensure best practices are followed.
• Monitor data pipeline performance and troubleshoot issues promptly.
• Stay updated on industry trends and emerging technologies related to data engineering.
• Design and implement data security measures to protect sensitive information.
• Assist in migration efforts from on-premise to cloud-based data solutions.
• Contribute to data governance initiatives and policies.
• Support business intelligence solutions through effective data modeling.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering or a similar role.
• Proficiency in using DBT for data transformation.
• Extensive experience with Snowflake cloud data platform.
• Strong SQL skills, with the ability to write complex queries.
• Experience in designing and implementing ETL workflows.
• Familiarity with data warehousing concepts and architectures.
• Knowledge of data modeling best practices.
• Previous experience in monitoring and optimizing data pipelines.
• Experience with data visualization tools like Tableau or Power BI is a plus.
• Solid understanding of data security and governance protocols.
• Ability to work effectively in a collaborative environment.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills.

Job Summary:

We are seeking a highly skilled Data Engineer with expertise in Snowflake, DBT (Data Build Tool), Shell scripting, and SQL. The ideal candidate will have a strong background in cloud data platforms, data modeling, and automation of data workflows.

Key Responsibilities:

• Design, build, and manage data pipelines and ETL processes in Snowflake.
• Develop and maintain data models using DBT to transform raw data into actionable insights.
• Write, optimize, and troubleshoot complex SQL queries for data extraction and analysis.
• Automate data workflows using Shell scripts to manage data processing tasks.

Immediate joiners (0-30 days)

Skills: cloud,data governance,data warehousing,shell scripting,etl,data modeling,data quality,dbt,data visualization tools (tableau, power bi),sql,snowflake