Data Engineer

4 days ago

Karachi, Sindh, Pakistan Horizon Tech Full time 1,200,000 - 3,000,000 per year

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.

This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.

Must Haves:

  • 3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.
  • Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.
  • Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).
  • Experience with Apache Spark / PySpark for batch and stream processing.
  • Solid knowledge of data governance, security, and compliance frameworks.
  • Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.
  • Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.
  • Strong problem-solving, collaboration, and communication skills.

Preferred (Nice to Have)

  • Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.
  • Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.
  • Awareness of MLOps pipelines, model monitoring, and feature store management.

Responsibilities:

  • Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).
  • Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.
  • Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.
  • Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.
  • Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.
  • Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.
  • Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.
  • Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.
  • Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.
  • Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.

Other Details

  • Work Days: Monday-Friday (3 pm - 12 am)
  • Office location: Off to Shahrah-e-Faisal, PECHS, Karachi

Job Type: Full-time

Pay: Rs150, Rs250,000.00 per month

Application Question(s):

  • What is your expected salary?

Education:

  • Bachelor's (Required)

Experience:

  • data engineering with large-scale data systems: 3 years (Required)
  • Python, SQL and modern AWS data and analytics services: 3 years (Required)
  • ETL/ELT workflows : 3 years (Required)

Location:

  • Karachi (Required)

Work Location: In person

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