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Lead Data Engineer

Lead Data Engineer

knowledge ArtisanIndia
16 days ago
Job description

Role Overview :

We are seeking an experienced Lead Data Engineer to design, develop, and scale data infrastructure while mentoring a team of engineers. The role involves collaborating with cross-functional teams, defining data requirements, and driving AI-powered data solutions that deliver high impact.

Key Responsibilities :

  • Design and optimize SQL Server database architectures for performance, scalability, and high availability.
  • Build and maintain data pipelines & ETL processes for large-scale integration.
  • Implement DevOps practices (CI / CD automation) for data workflows.
  • Develop and oversee Python-based applications for analytics and AI model deployment.
  • Collaborate with data scientists to enable AI-driven insights and solutions.
  • Ensure data governance, compliance, and security across data platforms.
  • Research and adopt new technologies to enhance infrastructure efficiency.

Requirements :

  • 10+ years of experience in data engineering / database development
  • 2+ years of team leadership or management experience
  • Strong expertise in SQL Server (performance tuning, indexing, HA)
  • Advanced Python skills (Pandas, NumPy, PySpark, SQLAlchemy, APIs)
  • Experience with DevOps (Azure DevOps / GitHub Actions), CI / CD, Docker, Kubernetes
  • Proficiency in cloud platforms (Azure preferred)
  • Knowledge of real-time data processing (Kafka, Spark Streaming)
  • Strong knowledge of data modeling & data warehousing
  • Excellent communication and collaboration skills
  • Bonus Skills :

  • Certifications (Azure Data Engineer / DevOps Engineer)
  • Familiarity with MLOps tools (MLflow, Kubeflow)
  • Knowledge of AI / ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with web scraping (Beautiful Soup, Scrapy, Selenium)
  • Why join us ?

  • Lead impactful projects with AI & cloud-first data solutions
  • Work fully remote with a collaborative, innovative team
  • Opportunities for continuous learning & growth in modern data tech
  • (ref : hirist.tech)

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