
Senior Python Developer
4 days ago
We are seeking an experienced and skilled Senior Python Developer to lead our pipeline architecture efforts.
This role involves designing, building, and maintaining large-scale data pipelines using Apache Beam and Databricks.
Key Responsibilities:- Architecture and Reuse:
- Design and build a shared component library/SDK for pipelines: ingestion, parsing/OCR, extraction, validation, enrichment, publishing.
- Create pluggable interfaces so multiple teams can swap extractors (Regex/LLM), OCR providers, and EMR publishers without code rewrites.
- Define patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation.
- Develop a repo strategy - shared/child repos for each use case.
- Performance and Reliability:
- Own end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), CPU vs I/O analysis.
- Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks.
- Implement concurrency best practices: asyncio for I/O-bound, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc.
- Establish SLOs/alerts for throughput, latency, error rates; set up DLQs and recovery patterns.
- Team Enablement:
- Mentor junior developers, lead design reviews, codify best practices, write clear docs and examples.
- Partner with ML engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf).
- 7+ years of experience in Python with strong depth in performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling and memory tuning.
- Observability expertise: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity.
- Hands-on experience with LLM based solutions and production support.
- API engineering for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data.
- Strong architecture/design skills: clean interfaces, packaging shared libs, versioning, CI/CD (GitHub Actions/Azure DevOps), testing.
- Experience building large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning).
- Document processing: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization.
- LLM/SLM integration experience (e.g., OpenAI/Azure AI, local SLMs), prompt/eval frameworks, PII redaction/guardrails.
- Cloud and tooling: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks.
- Security/compliance mindset (HIPAA), secrets management, least-privilege access.
- A competitive salary and benefits package.
- A culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.
- The opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
- Annual health check-ups.
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.
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