Senior Data Pipeline Architect

2 weeks ago


Mumbai, Maharashtra, India IKS Health Full time

About IKS Health

IKS Health is a leading healthcare provider that offers cutting-edge data pipeline solutions to transform the experience of its operation units and enable them to provide better services for business upliftment.

Data Pipeline Developer Role

We are seeking an experienced Data Pipeline Developer to join our team. As a key member of our Modern Data Pipeline (MDP) team, you will be responsible for analyzing, coding, testing, and deploying pipelines to support our business operations.

Key Responsibilities

  • Analyze data requirements and develop high-quality pipeline connections for seamless data flow
  • Coordinate with internal teams and clients to ensure functional and non-functional requirements are met before go-live
  • Continuously learn and adopt new ETL/Cloud technologies such as Delta Lake, Iceberg, Data Fabric, DataOps, Data Mesh, Streaming Data Processing, and Data Governance
  • Create strong documentation repositories for each module, customers, and development/delivery life cycle phases
  • Deliver data-driven and complex solutions with a customer-first mindset in multicultural and global teams
  • Be a critical member of our self-organized cross-functional team following Agile methodology best practices

Daily Work Activities

  • Data Pipeline development: Coding, Testing, Deploying, and Monitoring
  • Understanding domain, functional, and non-functional feature requirements
  • Create and contribute to Data Pipeline Artifacts: Deployment, Ingestion, and Transformation logics, Data Flow diagrams, and others
  • Deliver high-quality user stories to internal QA teams by following Agile best practices and supporting pre and post-go-live processes
  • Proactive measures in resolving possible issues in features being worked on
  • Write and automate Unit Tests, ensuring code quality and coverage
  • Ensure code is always checked in and source control standards are strictly followed

Requirements and Qualifications

  • + years of experience in developing on Cloud Environment
  • Masters/Bachelors Degree in Computer Science, Software Engineering, or related field
  • Minimum + years of experience in working using data components like Apache Beam, PySpark, Serverless Offering from Cloud (like Lambda, Cloud Functions), Data Warehouse, ETL Orchestration Tools (like Apache Airflow, Control-M)
  • Experience in any of the Cloud Platforms (preferably Google Cloud)
  • Proficient in SQL and working knowledge on NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
  • Must be able to code in at least programming languages with proficiency in at least one language, preferably Python
  • Familiar with CI/CD pipelines, Docker, and data as a service concepts
  • Basic understanding of RDBMS and Data Modeling concepts
  • Strong problem-solving and analytical abilities with excellent written and verbal communication skills
  • Ready to work with multicultural and global teams in different time zones
  • Has been part of complex technical development and migration projects from concept to completion

Estimated Salary Range: $120,000 - $180,000 per year


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