Senior Data Specialist - R01569126

We are looking for talented Snowflake Data Engineers who are passionate about building modern cloud data platforms and scalable data pipelines. The ideal candidate should have hands-on experience with Snowflake, Python, Airflow, DBT, and AWS and be eager to work on enterprise-scale data transformation initiatives.

• →Develop and maintain scalable ETL/ELT pipelines using Snowflake and modern data engineering technologies.
• →Design and implement data models, transformation frameworks, and data integration solutions.
• →Build and optimize data workflows using Airflow and DBT.
• →Develop Python-based automation and data processing solutions.
• →Work with AWS services for data ingestion, storage, and processing.
• →Optimize Snowflake performance, query execution, and warehouse utilization.
• →Collaborate with business, analytics, and engineering teams to deliver high-quality data solutions.
• →Ensure data quality, governance, security, and operational excellence across data platforms.
• →Troubleshoot production issues and provide ongoing support for data pipelines.

Snowflake Development & Data Warehousing
Python Programming
Apache Airflow Workflow Orchestration
DBT (Data Build Tool)

AWS Cloud Services (S3, Lambda, Glue, EC2, etc.)
Strong SQL and Data Modeling skills
ETL/ELT Pipeline Development
Understanding of Data Warehousing Concepts

Experience with CI/CD and Git
Exposure to Databricks, Spark, or other cloud data technologies
Knowledge of data governance and data quality frameworks
Snowflake or AWS Certification

• 2-6 years of experience in Data Engineering.
• Strong problem-solving and analytical skills.
• Ability to work in a fast-paced, collaborative environment.
• Excellent communication and stakeholder management skills.