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Data Engineer

Data Engineer

Pyramid Consulting, IncKanata, ON, Canada
22 days ago
Salary
CA$60.00–CA$65.00 hourly
Job type
  • Temporary
Job description

Immediate need for a talented Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Kanata, Ottawa, Canada(Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID : 25-56816

Pay Range : $60 - $65 / hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key 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 process.
  • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Key Requirements and Technology Experience :

  • Must have ; Snowflake
  • Databricks
  • Python
  • PySpark
  • Data Warehouse Concepts
  • 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 architectures, messaging, and analytics.
  • Cloud certification(s).
  • Strong experience in Code Optimizations and Performance tuning
  • Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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