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Senior Data Engineer (Contract, Full-Time) [HR208] (PK)

1 month ago
Pakistan
Part-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure Elasticsearch GCP Kafka Machine Learning MongoDB MySQL OpenSearch Pandas PostgreSQL Python
Apply Now
Smart Working

Smart Working

Smart Working is a company that specializes in software development outsourcing and staff augmentation. They offer nearshore software development services, outsourcing solutions, and staff augmentation with a focus on providing highly skilled Indian de...

Internet Software & Services
View All Jobs 11

Description

  • Architect and build scalable data pipelines and infrastructure for AI and product systems.
  • Design and maintain data ingestion, transformation, and storage architectures for operational and AI workloads.
  • Develop and manage batch and real-time data pipelines.
  • Build and optimize systems for vector search, retrieval, and machine learning data workflows.
  • Ensure data reliability, security, and governance across the platform.
  • Collaborate with AI, backend, product, and leadership teams to support training, inference, and product features.
  • Implement monitoring, observability, and data quality frameworks.
  • Optimize performance for large-scale datasets and query systems.
  • Contribute to technical architecture decisions and long-term data strategy.
  • Define the data function, establish standards, and help build the team as the company scales.

Requirements

  • 7+ years of professional experience, with most of it in dedicated data engineering roles.
  • Strong experience designing and building data pipelines and distributed data systems.
  • Experience with relational databases, with PostgreSQL preferred but MySQL or similar acceptable.
  • Experience working with NoSQL databases.
  • Experience with vector databases used in modern AI systems.
  • Strong programming experience in Python.
  • Demonstrated ability to make and justify architectural decisions.
  • Experience building scalable backend systems.
  • Experience designing data models and storage architectures.
  • Strong understanding of data processing performance and optimization.
  • Experience with Apache Spark, Apache Airflow, Kafka, and Elasticsearch or OpenSearch is highly desirable.
  • Experience with PostgreSQL, MongoDB, and vector databases such as Qdrant, Milvus, or pgvector is highly desirable.
  • Experience with Python data-processing libraries such as Pandas or Polars is highly desirable.
  • Experience working on AI or machine learning platforms is preferred.
  • Familiarity with stream processing and event-driven architectures is preferred.
  • Experience with cloud infrastructure such as GCP, AWS, or Azure is preferred.
  • Experience working in high-growth startups or early-stage companies is preferred.

Benefits

  • Remote-first work environment.
  • Opportunity to join a genuine community focused on growth and well-being.
  • Full-time, long-term role with a global team.
  • Work with a company that values personal and professional growth.
  • Join one of the highest-rated workplaces on Glassdoor.

Interested in this position?

Apply directly on the company website

Apply Now

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