Senior Data Engineer: Azure Data & Spark Lead

Tkxel LLC

Lahore

On-site

PKR 33,315,000 - 49,972,000

Full time

14 days+
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Job summary

Tkxel LLC in Reston, Virginia, is seeking a Senior Data Engineer to design and implement scalable data pipelines using Azure Data Factory and Synapse, and to lead a team of data engineers. You will collaborate with cross-functional teams to deliver robust data solutions.

With 5–8 years of experience in data engineering, you will optimize data models for warehousing and BI with Power BI, while ensuring data security and governance across projects.

Qualifications

  • Bachelor's or Master's degree in a related technical field.
  • 5–8 years of data engineering with strong Azure Data Analytics focus.
  • Experience leading and mentoring data engineering teams.
  • Proficient in ETL, data modeling, and data warehousing principles.
  • Excellent communication and collaboration with cross-functional teams.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Azure Data Factory and Synapse.
  • Leverage Spark or Databricks for large-scale data processing.
  • Develop data models and architectures for warehousing and BI with Power BI.
  • Lead and mentor teams of Data Engineers for project success.
  • Collaborate with data scientists, analysts, and IT to meet data needs.
  • Ensure data security and governance in line with policies.
  • Stay current with industry trends and apply best practices.
  • Promote continuous improvement and learning within the team.

Skills

Team leadership
Mentoring
Problem solving
Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure Data Factory
Azure Synapse
Apache Spark
Databricks
Power BI
Microsoft Fabric

Job description

Tkxel LLC in Reston, Virginia, is seeking a Senior Data Engineer to design and implement scalable data pipelines using Azure Data Factory and Synapse, and to lead a team of data engineers. You will collaborate with cross-functional teams to deliver robust data solutions.

With 5–8 years of experience in data engineering, you will optimize data models for warehousing and BI with Power BI, while ensuring data security and governance across projects.

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