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Azure Data Engineer

Azure Data Engineer

Smart IT Frame LLCOttawa, ON, Canada
18 days ago
Job type
  • Full-time
Job description

Direct message the job poster from Smart IT Frame LLC

Senior Talent Acquisition Specialist @ Smart IT Frame LLC | Artificial Intelligence Expertise

Type : Contract

About the Role : We are seeking a skilled Cloud Data Engineer with expertise in Python, PySpark, SQL, and data warehousing for enterprise-level systems. The ideal candidate will be adept at working with business users and possess business analyst expertise in Banking and Capital Markets, particularly in investment banking. Strong database fundamentals and PySpark coding expertise are essential.

Key Responsibilities :

  • Build and optimize data pipelines for efficient data ingestion, transformation, and loading from various sources, ensuring data quality and integrity.
  • Design, develop, and deploy Spark programs in the Databricks environment to process and analyze large volumes of data.
  • Leverage experience with Delta Lake, DWH, Data Integration, Cloud, Design, and Data Modelling.
  • Develop programs in Python and SQL.
  • Implement Data warehouse Dimensional data modeling.
  • Work with event-based / streaming technologies to ingest and process structured, semi-structured, and unstructured data.
  • Optimize Databricks jobs for performance and scalability to handle big data workloads.
  • Monitor and troubleshoot Databricks jobs, identifying and resolving issues or bottlenecks.
  • Implement best practices for data management, security, and governance within the Databricks environment.
  • Design and develop Enterprise Data Warehouse solutions.
  • Write 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.

Skills & Qualifications :

  • 5+ years of Python coding experience.
  • 5+ years of SQL Server-based development of large datasets.
  • 5+ years of experience developing and deploying ETL pipelines using Databricks PySpark.
  • Experience in any cloud data warehouse like Synapse, Big Query, Redshift, or Snowflake.
  • Proficiency 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) are a plus.
  • Strong experience in code optimizations and performance tuning.

    • If you are a seasoned professional who thrives in a dynamic environment and has a passion for driving data solutions, we would love to hear from you.

    Seniority level

  • Mid-Senior level

    • Employment type

  • Contract

    • Job function

  • Information Technology

    • Industries

  • Software Development

    • J-18808-Ljbffr

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    Data Engineer • Ottawa, ON, Canada