Strategic Data Infrastructure Leader

1 week ago

Solapur, Maharashtra, India beBeeEnterprise Full time ₹ 2,00,00,000 - ₹ 2,20,00,000

Position Overview:

We seek a skilled Enterprise Data Engineer to lead our platform's data architecture.

  • Role: Infrastructure Engineering
  • Experience: 3 to 7 Years
  • Job Type: Full Time Employment
Data Architecture and Integration:
  • Design and develop a shared data processing library for ingestion, parsing, extraction, validation, enrichment, publishing.
  • Standardize configuration, packaging, versioning, CI/CD, and documentation across the team.
  • Implement pluggable interfaces for multiple teams to swap extractors, OCR providers, and publishers without code rewrites.
  • Establish a repository strategy for shared and child repositories.
Performance Optimization and Reliability:
  • Own end-to-end profiling and tuning using cProfile, py-spy, line_profiler, memory analysis, 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.
  • Implement robust LLM API rate limiting/governance: enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics with alerts.
  • Set up Service Level Objectives (SLOs) and alerts for throughput, latency, error rates; establish Dead Letter Queues (DLQs) and recovery patterns.
Team Enablement and Collaboration:
  • Mentor developers, lead design reviews, codify best practices, write clear documentation and examples.
  • Partner with machine learning engineers on the future Large Language Model (LLM)/Small Language Model (SLM) path (evaluation harness, safety/PII, cost/perf).

Requirements:

  • 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.
  • Must have implemented LLM-based solutions and supported them in production.
  • API engineering experience for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data.
  • Strong architecture/design skills: clean interfaces, packaging shared libraries, versioning, CI/CD (GitHub Actions/Azure DevOps), testing.
  • 3+ years of 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.

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