Data Engineer

Job Title:

Location:

Experience Required:

Job Description:

Azure Data Engineer

7-8 years of hands-on experience

Key Responsibilities:

• Data Ingestion & Engineering

  : Own and drive Azure Data Engineering and Ingestion tasks as primary activities.

• Ownership & Planning

  : Take proactive ownership of work planning, effort estimation, and alignment with timelines.

• Collaboration

  : Work closely with the workstream lead to ensure the efficient execution of data engineering tasks.

• Mentorship

  : Act as a Senior Developer, guiding and mentoring junior developers to deliver high-quality solutions.

• Azure Services Expertise

  : Utilize and leverage Azure Data Services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and others to build and maintain robust data pipelines.

• Hands-on Development

  : Engage in hands-on development of end-to-end data pipelines, ETL processes, and data ingestion from various sources to Azure-based platforms.

• Optimization & Troubleshooting

  : Continuously monitor and optimize data workflows and troubleshoot any data pipeline failures.

Key Skills & Qualifications:

• Experience

  : 7-8 years of experience in

  data engineering

  with strong expertise in

  Azure Data Ingestion

  .

• Azure Knowledge

  : Hands-on experience with

  Azure Data Factory

  ,

  Azure Synapse Analytics

  ,

  Azure Databricks

  , and other Azure data services.

• Data Engineering

  : Solid understanding of

  ETL processes

  ,

  data pipelines

  , and

  data integration

  .

• Project Management

  : Ability to proactively plan, estimate efforts, and ensure that work is delivered according to timelines.

• Mentorship

  : Previous experience mentoring junior developers or team members.

• Problem Solving

  : Strong problem-solving skills and a proactive attitude in identifying and resolving issues.

Additional Skills (Good to Have):

• Familiarity with

  Azure SQL Database

  ,

  Power BI

  , and

  Azure Machine Learning

  .
• Experience working in an Agile or Scrum environment.
• Knowledge of

  Big Data

  technologies, such as

  Hadoop

  or

  Spark

  .

Education:

• Bachelor's or Master's Degree

  in Computer Science, Engineering, or a related field.