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

2 weeks, 6 days ago
India
Contract
Lead
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure Elasticsearch GCP Kafka Machine Learning MongoDB MySQL OpenSearch Pandas PostgreSQL Python SQL
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 3

Description

  • Architect and build scalable data pipelines and infrastructure for AI and product systems.
  • Design and maintain data ingestion, transformation, and storage architectures.
  • Develop and manage batch and real-time data pipelines.
  • Build and optimize vector search, retrieval, and machine-learning data workflows.
  • Ensure data reliability, security, governance, and quality across the platform.
  • Collaborate with AI and backend engineers on training, inference, and product features.
  • Implement monitoring, observability, and data-quality frameworks.
  • Optimize large-scale datasets and query-system performance.
  • Define technical architecture, engineering standards, culture, and hiring practices as the founding data hire.
  • Partner with founders and product leadership to inform product decisions with data capabilities.

Requirements

  • 7+ years of professional experience, primarily in dedicated data engineering roles.
  • Strong experience designing data pipelines and distributed data systems.
  • Experience with relational databases, preferably PostgreSQL; MySQL or similar is acceptable.
  • Experience with NoSQL and vector databases.
  • Strong Python programming experience.
  • Experience building scalable backend systems and designing data models and storage architectures.
  • Ability to make and justify architectural decisions.
  • Strong understanding of data-processing performance and optimization.
  • Experience with Apache Spark, Apache Airflow, Kafka, Elasticsearch, or OpenSearch is highly desirable.
  • Experience with PostgreSQL, MongoDB, Qdrant, Milvus, pgvector, Pandas, or Polars is highly desirable.
  • Experience with AI or machine-learning platforms, stream processing, event-driven architectures, cloud infrastructure, or early-stage startups is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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