Data Engineer
@ Algo

Lahore, Punjab, Pakistan
$100,000
On Site
Full Time
Posted 7 hours ago

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Job Details

Data Engineer - Job Description

The Data Engineer at Algo is responsible for designing and developing scalable data warehouse solutions that support analytics and reporting. You will work on building efficient Azure Data Pipelines using Azure Data Factory for ETL processes, and develop optimized Spark jobs using Databricks and PySpark for large-scale data transformations.

Your role will include coordinating with onsite and offshore teams to ensure seamless execution and business continuity, and developing dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik. You will also manage presentation and access layers to ensure secure and efficient data access, while working directly with clients and stakeholders to understand requirements and deliver actionable data solutions.

Qualifications & Responsibilities

  • BS in Computer Science or related field with 4-5 years experience.
  • Expertise in database and data warehouse design, support, and maintenance.
  • Proficiency in complex SQL and SparkSQL queries.
  • Experience in Python and related data frameworks.
  • Hands-on experience with Databricks and PySpark.
  • Strong proficiency in Power BI; familiarity with similar BI tools is a plus.
  • Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) preferred.
  • Ability to generate and maintain comprehensive technical documentation.
  • Excellent communication, analytical, and problem-solving skills.
  • A collaborative, team-oriented mindset with the ability to work independently.

Key skills/competency

  • Data Warehouse
  • Azure Data Factory
  • Spark
  • Databricks
  • PySpark
  • SQL
  • Power BI
  • BI Tools
  • Python
  • ETL
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How to Get Hired at Algo

🎯 Tips for Getting Hired

  • Research Algo's culture: Study their mission, news, and employee feedback.
  • Customize your resume: Highlight Azure, Python, and Spark skills.
  • Prepare portfolio projects: Showcase data warehousing and ETL work.
  • Practice technical interviews: Focus on SQL and data transformation problems.

📝 Interview Preparation Advice

Technical Preparation

Review Azure Data Factory documentation.
Practice writing complex SQL queries.
Optimize Spark and PySpark code samples.
Study Databricks platform features.

Behavioral Questions

Describe handling project deadlines under pressure.
Explain teamwork with diverse global teams.
Discuss problem-solving under challenging situations.
Detail experiences with stakeholder communications.

Frequently Asked Questions