Elevate your career as a Senior Data Engineer specializing in SQL and data warehousing within the banking sector. Leverage your expertise in Python and Pyspark to develop enterprise-level systems.We are seeking a Senior Data Engineer with over 11 years of experience, focusing on SQL Server and ETL pipelines using Databricks Pyspark. This role requires collaboration with business users and a solid understanding of data warehousing concepts. Ideal candidates will help drive cloud migrations for enterprise systems and refine data architecture.Key Responsibilities:
- Develop large datasets using SQL Server
- Create and deploy ETL pipelines with Databricks Pyspark
- Design data models for OLTP and OLAP systems
- Collaborate with business stakeholders on data needs
- Lead migration to cloud data warehousing solutionsRequirements:
- Minimum 11 years of relevant experience
- 5+ years in SQL Server development
- Proficient in cloud platforms like Snowflake or Redshift
- Robust experience in data modeling techniques
- Proven leadership in cloud migration projectsUtilize your skills in data engineering and cloud solutions to transform banking data systems.#J-18808-Ljbffr

📌 Senior Data Engineer Banking Domain (Toronto)
🏢 Arkhya Tech.
📍 Toronto