Data Engineer

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About the Role

Azure Data Engineers

Key Responsibilities

• Design and implement

  data ingestion pipelines

  from diverse sources (databases, APIs, streaming platforms) using

  Azure Data Factory

  .
• Perform

  data transformation and processing

  at scale using

  Azure Databricks

  or

  Azure Synapse Analytics

  .
• Manage

  data storage solutions

  including

  Azure SQL Database

  ,

  Azure Cosmos DB

  ,

  Azure Data Lake Storage

  , and

  Azure Blob Storage

  .
• Develop and maintain

  data warehousing solutions

  leveraging

  Azure Synapse Analytics

  for large-scale analytics.
• Collaborate with data scientists and analysts to design

  data models

  and enable advanced analytics using

  Azure Analysis Services

  or

  Databricks

  .
• Ensure data quality, security, and compliance across all processes.

Must-Have Skills

• Strong experience with

  Azure Data Factory

  ,

  Azure Databricks

  ,

  Azure Synapse Analytics

  , and

  Azure Data Lake

  .
• Expertise in

  ETL/ELT processes

  ,

  data modeling

  , and

  data warehousing

  .
• Proficiency in

  SQL

  ,

  Spark

  , and big data processing frameworks.
• Hands-on experience with

  structured and unstructured data management

  .

Good-to-Have Skills

• Knowledge of

  DevOps practices

  for data pipelines using

  Azure DevOps

  ,

  Azure Monitor

  , and

  Azure Automation

  .
• Experience in

  CI/CD for data solutions

  and pipeline automation.

Behavioral Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.