At a Glance
- Tasks: Design and implement data solutions using SQL, Python, and cloud technologies.
- Company: Leading banking institution focused on innovation and data-driven decisions.
- Benefits: Attractive salary, comprehensive health benefits, and opportunities for remote work.
- Other info: Opportunity to work on enterprise-level systems and advance your career.
- Why this job: Join a dynamic team and lead impactful data projects in the banking sector.
- Qualifications: 11+ years of experience in data engineering with strong SQL and ETL skills.
The predicted salary is between 108000 - 132000 $ per year.
- Must have : SQL+ Datawarehouse+ Banking domain Total experience: 11+ years
- Job
Description: This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems.
The position calls for someone that is comfortable working with business users along with business analyst expertise.
Skills: 5+ years - SQL Server based development of large datasets
5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
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Senior Data Engineer in Toronto employer: Arkhya Tech. Inc.
Arkhya Tech. Inc. is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Salesforce CPQ Lead Developers to thrive. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects in a dynamic environment. Located in a vibrant tech hub, our team enjoys a supportive atmosphere that values creativity and teamwork, ensuring that every contribution is recognized and rewarded.
