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Senior Python Developer - ETL & Data Pipeline Automation

Senior Python Developer - ETL & Data Pipeline Automation

Geektrust.comBangalore
11 days ago
Job description

Role overview :

  • Proficient in Python, with hands-on experience using Pandas for large dataset processing.
  • Solid knowledge of ETL frameworks and pipeline automation strategies.
  • Experience with Elasticsearch : indexing, querying, and optimizing for performance.
  • Strong command of Hive SQL and working with distributed data systems.
  • Experience building APIs using Flask or similar Python frameworks.
  • Understanding of data modeling, schema design, and workflow orchestration.
  • Strong debugging, analytical, and communication skills.

What would you do here :

  • Design, develop, and automate scalable ETL workflows using Python and Pandas.
  • Implement and manage data ingestion and transformation processes using Hive SQL for data warehousing.
  • Configure, monitor, and optimize Elasticsearch clusters for indexing, searching, and analytics performance.
  • Build and maintain RESTful APIs using Flask to facilitate secure data exchange.
  • Collaborate with Data Scientists, Analysts, and Engineering teams to support data-driven applications and reporting tools.
  • Ensure high standards of data quality, reliability, and integrity throughout the pipeline.
  • Monitor performance, debug issues, and tune queries for maximum efficiency.
  • Document data flows, pipeline architecture, and automation logic clearly.
  • Senior Level :

    Required Skills & Experience :

  • 8-12+ years of experience in professional Python development.
  • Proven expertise in designing and building backend systems and APIs at scale.
  • Strong experience with LLMs, GenAI integrations, Agentic workflows and AI-enhanced workflows.
  • Solid understanding of microservices architecture and distributed systems.
  • Proficiency in automated testing and observability best practices.
  • Hands-on experience building and maintaining CI / CD pipelines.
  • Strong problem-solving, communication, and stakeholder management skills.
  • Must Have :

  • Python, LLD / HLD, AI / LLM, Unit Testing, Code Reviews, CI / CD pipelines, Frameworks like Fast API, Database like Postgres, Monitoring and visualisation tools like Prometheus and Grafana, Team Leading
  • Key Responsibilities :

    System Architecture & Design :

  • Architect and develop secure, scalable backend systems using Python.
  • Lead high- and low-level design (HLD / LLD) with a focus on modularity, fault tolerance, and API best practices.
  • Champion performance optimization and drive observability improvements across services.
  • AI / LLM Integration :

  • Integrate Large Language Models (LLMs) and GenAI-powered features into core applications.
  • Build robust systems that mitigate hallucinations and improve AI reliability.
  • Leverage agentic frameworks and AI-driven automation for process enhancement
  • Practical experience with OpenAI developer ecosystem, including APIs (Completions, Responses, Files) and tools / SDKs (Agents SDK, Web Search).
  • Familiarity with agent debugging / monitoring tools (Phoenix, LangSmith, or similar).
  • Engineering Excellence :

  • Define and enforce engineering best practices across testing, code reviews, and quality gates.
  • Ensure strong observability through logging, monitoring, and alerting tools.
  • Write unit, integration, and functional tests to support high-reliability systems.
  • DevOps & Deployment :

  • Build and manage CI / CD pipelines for automated testing and smooth deployments.
  • Ensure deployment processes support rollback, scalability, and system health.
  • Collaboration & Leadership :

  • Collaborate closely with product, data, business, and DevOps teams to align on solution delivery.
  • Mentor and support junior engineers, fostering a culture of continuous improvement and technical excellence.
  • Python & Backend Engineering :

  • Strong Python development skills with experience in frameworks like FastAPI
  • Proven experience designing REST APIs, microservices, and backend architectures.
  • Experience integrating with databases (e.g., PostgreSQL) for real-time and batch workloads.
  • Experience working with data pipelines and ETL frameworks (e.g., jobs moving data from GCP - Postgres) and integrating this data into backend services or AI workflows.
  • (ref : hirist.tech)

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