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Senior Data Engineer

4 weeks ago


Lahore, Punjab, Pakistan nexaquanta Full time

1 day ago Be among the first 25 applicants

Direct message the job poster from NexaQuanta

Technical and Non-Technical Recruiter | Payroll Executive | HR Operations | Talent Acquisition | HR Generalist | Sr. HR Officer | Employees Relation…

Role Description

We are looking for a highly motivated and skilled Data Engineer with around 4 years of experience to join our data team. The ideal candidate will have hands-on experience in designing and building scalable data pipelines and a strong understanding of Kafka, AWS Redshift, Snowflake, PySpark, and Apache Airflow.

You will play a key role in enabling data-driven decision-making across the organization by building efficient data workflows and ensuring reliable data infrastructure.

Key Responsibilities:
  • Design, develop, and maintain scalable and efficient data pipelines.
  • Integrate and process data from diverse sources using Apache Kafka and other ingestion tools.
  • Build ETL workflows leveraging PySpark and manage orchestration with Apache Airflow.
  • Optimize data warehousing solutions using Amazon Redshift and Snowflake.
  • Collaborate with data analysts, scientists, and other stakeholders to understand data requirements and deliver solutions.
  • Monitor and troubleshoot data pipeline issues and ensure data integrity.
  • Ensure best practices for data quality, security, and compliance are followed.
  • Contribute to automation, performance tuning, and system architecture improvements.
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 4+ years of experience in Data Engineering or a similar role.
  • Strong programming skills in Python, particularly with PySpark.
  • Proven experience with Apache Kafka for real-time data streaming.
  • Hands-on experience with AWS Redshift and Snowflake for data warehousing.
  • Solid understanding and practical experience with Airflow for workflow orchestration.
  • Proficient in writing complex SQL queries for data transformation and reporting.
  • Strong problem-solving skills and attention to detail.
Preferred Qualifications:
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with containerization tools (Docker).
  • Exposure to CI/CD pipelines and DevOps practices in data engineering.

What We Offer:

  • Market competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI technologies and innovative projects.
  • Collaborative and inclusive work environment.
  • Professional development and growth opportunities.

NexaQuanta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

  • Join us at NexaQuanta and be a part of the future of AI-driven innovation
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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