Job Title: Data Warehouse Engineer - Snowflake / DBT**Immediate joiners only**Job Description:We are looking for a Data Warehouse Engineer - Snowflake / DBT to design, develop, and optimize scalable data pipelines and cloud-based data solutions using Snowflake. The ideal candidate will have expertise in SQL, data modeling, ETL/ELT processes, and cloud data architecture, ensuring high-performance data management and analytics.Key Responsibilities:Lead Design, develop, and optimize data pipelines and ETL/ELT workflows in Snowflake.Experience working with Enterprise Apps data like Oracle EBS or SAP or Salesforce is a MustImplement data modeling (Star/Snowflake schema) and data warehouse solutions.Optimize Snowflake performance using clustering, caching, and partitioning.Manage data ingestion, transformation, and processing using SQL, or Python.Work with cloud platforms (AWS, Azure, GCP) and integrate with Snowflake.Ensure data security, governance, and compliance best practices.Collaborate with Data Analysts, Data Scientists, and Business Teams for data-driven insights.Automate data workflows using Airflow, DBT, or similar orchestration tools.Monitor and troubleshoot data pipelines, ensuring reliability and scalability.Requirements:Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.8-10 years of experience in Data Engineering with expertise in Snowflake & DBT.Proficiency in SQL and Python for data transformation.Hands-on experience with ETL/ELT processes and tools like DBT, Talend, Informatica, or Matillion.Knowledge of cloud platforms (AWS, Azure, GCP) and services like S3, Lambda, AWS GlueExperience with streaming data (Kafka, Spark Streaming, or Kinesis) is a plus.Strong understanding of data warehousing, performance tuning, and security best practices.Familiarity with CI/CD, Git, Terraform, and Infrastructure as Code (IaC).Excellent problem-solving and communication skills.SnowPro Certification is a must
Job Title
Data Warehouse Engineer - Snowflake / DBT