Data Engineer
3 days ago
Location:
Onsite – Garden Town, Lahore
Company:
GeekyBugs
About Us:
GeekyBugs is a fast-growing tech company dedicated to building innovative digital solutions that make an impact. We're passionate about technology, teamwork, and continuous growth — and we're looking for skilled professionals to join our journey.
Position Overview:
We are seeking an experienced
Data Engineer
with 4–5 years of hands-on experience in designing, developing, and maintaining data pipelines and architectures. The ideal candidate should have a strong grasp of data modeling, ETL processes, and modern data tools and technologies.
Key Responsibilities:
- Design, develop, and maintain scalable and reliable data pipelines.
- Build and optimize data systems and workflows for analytics and reporting.
- Integrate data from multiple sources into unified datasets.
- Collaborate with software engineers, analysts, and data scientists to deliver business insights.
- Ensure data quality, security, and compliance with organizational standards.
- Monitor performance and troubleshoot data-related issues.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 4–5 years of professional experience as a Data Engineer.
- Strong experience with SQL, Python, and data pipeline orchestration tools (e.g., Airflow, Luigi).
- Hands-on experience with cloud data platforms (AWS, Azure, or GCP).
- Proficiency in ETL development, data warehousing, and database management systems.
- Familiarity with big data technologies such as Spark, Hadoop, or Kafka is a plus.
- Strong analytical and problem-solving skills with attention to detail.
What We Offer:
- Competitive salary package.
- Collaborative and innovative work environment.
- Opportunities for learning and career growth.
- Chance to work on impactful projects with a talented team.
How to Apply:
If you're passionate about building robust data pipelines and working with cutting-edge technology, we'd love to hear from you
Send your CV to
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