Senior Data Engineer - Azure

Tkxel LLC; Lahore; On-site; PKR 33,379,694 - 44,506,259; Full time

Job summary

Tkxel LLC seeks a Senior Data Engineer to lead data engineering initiatives, focusing on Azure Data Factory, Synapse, Spark/Databricks, and Power BI. You will guide teams and deliver end-to-end data solutions driving actionable insights.

The ideal candidate has 3–6 years in data engineering and strong modeling, ETL, and BI experience, with excellent communication across stakeholders.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science.
• 3–6 years of data engineering experience focused on Azure Data Analytics.
• Proficiency in Azure Data Factory, Azure Synapse, Spark/Databricks, and Power BI.
• Experience leading Data Engineers teams in fast-paced environments.
• Strong data modeling, ETL, and data warehousing knowledge.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Data Factory and Synapse.
• Leverage Apache Spark or Databricks for big data processing.
• Develop and optimize data models and architectures for BI using Power BI.
• Lead and mentor teams of Data Engineers.
• Collaborate with data scientists and IT to deliver data solutions.
• Implement and maintain data security and compliance measures.
• Stay current with industry trends and apply best practices.
• Drive adoption of innovative data engineering techniques.

Skills

Azure Data Factory

Azure Synapse

Apache Spark

Databricks

Power BI

Data modeling

ETL processes

Team leadership

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Azure Databricks

Power BI Desktop

Azure Data Factory

Job description

Tkxel is a leading software development company located in Reston, Virginia. We are committed to develop innovative software solutions for leading enterprises in the world, helping them grow their businesses using latest technology solutions.

Job Description

Overview

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward.

Responsibilities

• Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
• Leverage Apache Spark or Databricks for big data processing and analytics.
• Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
• Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
• Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
• Implement and maintain data security and compliance measures in line with organizational policies and regulations.
• Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
• Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
• Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
• Experience leading and managing teams of Data Engineers in a fast-paced environment.
• Strong understanding of data modeling, ETL processes, and data warehousing principles.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Knowledge of Microsoft Fabric is preferred but not necessary.
• Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.