Cloud Engineering Lead

11 hours ago


Mississauga, Ontario, Canada NexGen Tech Solutions Full time

Job Title: Cloud Engineering Lead

About Us: NexGen Tech Solutions is a forward-thinking company that utilizes cutting-edge technologies to deliver innovative solutions.

Salary: $150,000 - $180,000 per year

Job Description: As a Cloud Engineering Lead at NexGen Tech Solutions, you will play a pivotal role in designing, developing, and maintaining our data architecture on the Azure platform. Your expertise will be instrumental in collaborating with cross-functional teams to leverage technical proficiency and contribute to the successful implementation of data solutions.

Key Responsibilities:

  • Design and implement scalable, reliable, and high-performance data architectures on the Azure cloud platform.
  • Collaborate with data architects and other stakeholders to define data requirements and architecture standards.
  • Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption.
  • Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows.
  • Design and implement data models that support business requirements and enable efficient querying and analysis.
  • Optimize data storage and retrieval processes for performance and cost-effectiveness.
  • Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability.
  • Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
  • Ensure compliance with data governance and privacy regulations.
  • Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
  • Implement performance tuning strategies to optimize data processing and reduce latency.
  • Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference.

Requirements:

  • Bachelor's degree in computer science, Information Technology, or a related field.
  • Proven experience (3+ years) as a Data Engineer, with a focus on Azure Cloud technologies.
  • In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
  • 3-5+ years experience working with large volumes of data (structured and unstructured).
  • Strong proficiency in programming languages such as Python, SQL, and familiarity with tools like Spark.
  • Hands-on experience on designing, developing, and implementing Enterprise Data Warehousing, ETL, and real-time/batch data exchanges and working with related technologies such as SSIS, Azure Data Factory, Synapse Spark, Azure DevOps, Databricks.
  • Strong SQL skills, knowledge of RDBMS and Data Lake concepts.
  • Strong knowledge of data warehousing architecture, data mining methodologies, and business intelligence.
  • Knowledge of AI and ML developments/solutions/implementations is a plus.
  • Knowledge of data security, compliance, and governance best practices.


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