IntraEdge | Data Engineer | india
2 weeks ago
Website-
Please see the JD mentioned below.
Job Title : Data Engineer
Location : Remote
Expereince-4+Years
Notice period-Max 15 Days
Department : Data Engineering
Job Summary:
We are seeking a highly skilled Data Engineer with expertise in Snowflake and DBT to join our growing data team. The ideal candidate will have a strong background in data engineering, with at least 3 years of experience working with Snowflake and 2 years of hands-on experience with DBT . The candidate will play a crucial role in building and maintaining data pipelines, optimizing the data architecture, and ensuring data quality across our systems.
Key Responsibilities:
- Data Pipeline Development : Design, develop, and maintain efficient, reliable, and scalable ETL pipelines using DBT and Snowflake .
- Data Modeling : Work closely with data analysts and stakeholders to understand business requirements and design data models in Snowflake that support reporting and analytical needs.
- Data Warehousing : Design and optimize data storage and retrieval strategies within Snowflake , ensuring high-performance data processing.
- Automation : Automate routine data pipeline jobs, ensuring data flow is consistent, secure, and optimized.
- Data Integration : Integrate data from multiple sources (internal and external) into Snowflake , ensuring data quality and consistency.
- Performance Optimization : Monitor and optimize the performance of Snowflake queries, storage, and data models.
- Collaboration : Work cross-functionally with data scientists, data analysts, and business teams to understand data needs and ensure data systems are aligned with business objectives.
- Data Quality & Monitoring : Implement data quality checks and maintain high standards of data accuracy, consistency, and reliability.
- Documentation : Maintain clear documentation of data pipeline architectures, workflows, and data models to ensure knowledge sharing and compliance.
Required Qualifications:
- Experience :
- Minimum of 3 years of hands-on experience with Snowflake as a data engineer, architect, or related role.
- At least 2 years of experience working with DBT (Data Build Tool), including building and maintaining data transformation workflows.
- Technical Skills :
- Strong proficiency in SQL , including writing complex queries and optimizing performance.
- Experience working with data warehouse solutions , specifically Snowflake .
- Proficiency with DBT for transforming data, version control, and managing ETL workflows.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, especially in relation to Snowflake.
- Experience with CI/CD tools and practices for automating deployment and monitoring of data workflows.
- Knowledge of Data Modeling :
- Strong understanding of dimensional data modeling and best practices for building scalable, high-performance data models.
- Problem Solving : Strong analytical and problem-solving skills with a focus on optimizing data workflows and performance.
- Communication Skills : Ability to work effectively with cross-functional teams, including data analysts, product owners, and engineers.
Preferred Qualifications:
- Data Governance & Security : Knowledge of data governance frameworks, access controls, and security best practices for cloud-based data warehouses.
- Big Data Technologies : Exposure to big data technologies (e.g., Apache Spark, Hadoop) is a plus.
- Experience with Python or other scripting languages : Ability to automate tasks and build custom workflows using Python, Shell, or similar scripting languages.
Thanks & Regards,
Divya Dixit
Recruitment Lead
intraedge.com | truyo.com | edgelearn.co
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