Azure Data Engineer

1 week ago

Mississauga, Ontario, Canada Exl Neo Full time $80,000 - $120,000 per year

Job Type: Azure Data Engineer

Location
: Mississauga, ON, Canada (Hybrid)

Job Type: Contract

Job Description:

We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines using Snowflake, Pyspark, and SQL.
  • Write optimized and complex SQL queries to extract, transform, and load data.
  • Develop and implement data models, schemas, and architecture that support banking domain requirements.
  • Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
  • Automate data workflows and ensure data quality, accuracy, and integrity.
  • Manage and coordinate release processes for data pipelines and analytics solutions.
  • Monitor, troubleshoot, and optimize the performance of data systems.
  • Ensure compliance with data governance, security, and privacy standards within the banking domain.
  • Maintain documentation of data architecture, pipelines, and processes.
  • Stay updated with the latest industry trends and incorporate best practices.

Required Skills and Experience:

  • Proven experience as a Data Engineer or in a similar role with a focus on Snowflake, Python, Pyspark, and SQL.
  • Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
  • Hands-on experience with release management, deployment, and version control practices.
  • Solid understanding of banking and financial services industry data and compliance requirements.
  • Proficiency in Python scripting and Pyspark for data processing and automation.
  • Experience with ETL/ELT processes and tools.
  • Knowledge of data governance, security, and privacy standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

Preferred Qualifications:

  • Good Knowledge in Azure and Databricks in highly preferred.
  • Knowledge of Apache Kafka or other streaming technologies.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Prior experience working in the banking or financial services industry.

Best Regards

Gurneet Singh

EXL NEO Technologies

Contact:

Email ID

:

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