Cloud Data
1 month ago
This is with a large IT services firm for a major International bank. Candidate must have legal work status for Canada. Client Location is Mississauga Ontario. Hybrid - In-Office 3 days per week. Perm/FT role, salary and benefits OR on contract - 6 months to start at market rate.
Role OverviewThis 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.
Responsibilities:- 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 processes.
- Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- 8 to 10 years programming / software / IT / MIS experience.
- 7+ years Python coding experience.
- 7+ years SQL Server based development of large datasets.
- 5+ years with experience 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 architectures, messaging, and analytics.
- Cloud certification(s).
- Any experience with Airflow is a Plus.
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