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 solutions
Requirements: • 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 projects
Utilize 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
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