keleya digital-health solutions
keleya digital-health solutions
keleya digital-health solutions गर्भवती और हाल ही में माँ बनी महिलाओं के लिए डिजिटल स्वास्थ्य और वेलनेस सेवाएँ विकसित करती है। इसका ऐप व्यक्तिगत गर्भावस्था योजना, स्वास्थ्य निगरानी, व्यायाम, रेसिपी और विशेषज्ञ मार्गदर्शन को एक साथ लाकर गर्भावस्था और शुरुआती मातृत्व के दौरान महिलाओं को सहायता प्रदान करता है। कंपनी ammely.de भी संचालित करती है, जो जर्मनी का एक दाई मंच है। यहाँ उपयोगकर्ता कम समय में भी, स्थान की परवाह किए बिना, वीडियो परामर्श खोज और बुक कर सकते हैं। 2017 में स्थापित Keleya ने 4,00,000 से अधिक महिलाओं की सहायता की है और उपयोगकर्ताओं को 6,000 से अधिक दाइयों से जोड़ा है।

Senior Data Engineer – Berlin Hybrid

Lead the development of Glimmer’s modern health-data warehouse and insurance data pipelines. Help power a digital health platform serving pregnancy, birth, and early parenthood.

विवरण

  • Assess the existing data ecosystem across legacy platforms, acquired sources, pipelines, and dependencies
  • Define and communicate the target architecture and roadmap for migration
  • Build and maintain scalable ETL and ELT pipelines with SQL, Python, and PostgreSQL
  • Manage and continuously improve AWS data infrastructure, especially EC2 and RDS
  • Develop the automated insurance invoicing pipeline for reimbursements, claim tracking, and financial data
  • Create ingestion pipelines for product, web, CRM, and advertising systems including Amplitude, Meta, Google Ads, and HubSpot
  • Build and maintain REST API connections to internal systems, external tools, and SaaS platforms
  • Create warehouse schemas and data models supporting reporting, product analytics, experimentation, and regulatory needs
  • Establish data quality controls, automated tests, monitoring, and alerting
  • Automate and coordinate workflows using version control, CI/CD, code reviews, and thorough documentation
  • Handle health data in accordance with GDPR through access controls, pseudonymisation, and retention policies
  • Partner with Marketing, Product, and Finance to provide datasets for tools such as AWS QuickSight
  • Support team development by sharing expertise in data practices, tools, and concepts
  • Move critical sources to the warehouse, retire obsolete pipelines and tools, and make the warehouse the definitive source of truth

आवश्यकताएँ

  • At least three years of experience in data engineering or a closely related field
  • Advanced practical experience with SQL, Python, PostgreSQL, and AWS EC2/RDS
  • Demonstrated ability to build and take ownership of data pipelines and warehouse architectures in fast-changing environments
  • Experience integrating APIs, automating workflows, and using GitHub for version control
  • Strong knowledge of data modelling, data quality, and pipeline observability
  • Understanding of data privacy and security, preferably including work with sensitive or regulated information under GDPR
  • Experience with orchestration platforms such as Airflow or Dagster is a plus
  • Experience with transformation frameworks such as dbt is a plus
  • Infrastructure-as-code experience is a plus
  • Familiarity with business intelligence tools such as AWS QuickSight is a plus
  • Able to work independently while bringing curiosity and a strong sense of ownership
  • Fluent English communication skills
  • German language skills are an advantage

लाभ

  • 30 days of paid annual leave
  • Urban Sports Club membership
  • Allowance for up to three months of remote work
  • Meaningful ownership of the data platform’s architecture and core foundations
  • Professional growth through modern data architecture, regulated health data, and cross-functional platform ownership
  • Mentoring and support from the team
  • Regular team breakfasts
  • Scheduled celebrations throughout the year
  • Opportunities for coaching and knowledge exchange

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