Azure Data Engineer

2 weeks ago

Mississauga, Ontario, Canada NexGen Tech Solutions Full time

Position: Lead Azure Data Engineer

Job Type: Full Time

Location:
Mississauga, ON (Hybrid)

Must Have: Azure DevOps and azure data engineering, SSIS, Databricks

As our new Data Engineer, you will play a role in designing, developing, and maintaining our data architecture on the Azure platform. You can expect to collaborate with cross-functional teams, leverage

your technical proficiency, and contribute to the successful implementation of data solutions.

What will you be doing?

  • 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.

What experience do you have?

  • 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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