Senior Data Engineer

at  ASB Resources

JOB DESCRIPTION:

This position is for a Cloud 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 in understanding Banking and Capital markets, especially in investment banking, would be a big plus. Strong Database fundamentals is a must along with PySpark Coding expertise.

SKILLS:

• 5+ years Python coding experience.
• 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.
• Experience with Cloud based data architecture, messaging, and analytics.
• Cloud certification(s).
• Strong experience in Code Optimizations and Performance tuning
  Why Join Us? Opportunity to work with advanced tools and technologies in data engineering. Collaborative environment with a focus on innovation and impact. Work on high-profile projects in the Banking and Capital Markets domain.
  Let’s Connect! If this sounds like the next step in your career, apply now or share your CV at ab@asbresources.com. Know someone who’s perfect for this role? Tag them in the comments!
  Join us in shaping the future of data. We can’t wait to meet you!
  Job Type: Full-time
  Pay: $85,000.00-$92,000.00 per year

Schedule:

• Monday to Friday

Work Location: Hybrid remote in Ottawa, ON K1P 5G3
Application deadline: 2025-02-03
Expected start date: 2025-02-0

• Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
• Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
• Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
• Proficient in developing programs in Python and SQL
• Experience with Data warehouse Dimensional data modeling.
• Working with event based/streaming technologies to ingest and process data.
• Working with structured, semi structured and unstructured data.
• Optimize Databricks jobs for performance and scalability to handle big data workloads.
• Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
• Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
• Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.