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Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

First seen by Alion on Nov 13, 2026.

Overview
Company
Impact
Profile match
At Carelon Global Solutions India, formerly Legato, we build platforms and tools that transform healthcare by making processes connected and seamless.

We are seeking a highly skilled and motivated Cloud Data Engineering to join our team. The ideal candidate will have extensive experience in building and managing cloud-based data platforms, with expertise in SQL, AWS, Python, and Snowflake. This role requires a strong background in data engineering, cloud ingestion, ETL, and cloud migration to design, implement, and lead scalable and efficient data solutions.


Job Responsibility:

  • Lead the design and implementation of cloud ingestion and migration platforms.
  • Develop robust and scalable ETL pipelines for data processing and transformation.
  • Leverage AWS and GCP to design, deploy, and maintain scalable cloud-based architectures.
  • Optimize data storage, retrieval, and analytics solutions using Snowflake, BigQuery, and Databricks.
  • Implement solutions for real-time and batch data ingestion.
  • Ensure data pipelines are reliable, scalable, and secure.
  • Work closely with cross-functional teams to gather requirements and translate them into technical designs.
  • Communicate progress and technical challenges effectively to stakeholders.


Qualification:

  • Minimum education: B.Tech degree/MCA with computer science background or equivalent experience.
  • Preferred education: BE/B.Tech/MCA.


Experience:

  • 3+ years of hands-on experience in data engineering.
  • Proficiency in AWS and Python for building data pipelines.
  • Strong experience in building ETL pipelines and workflows.


Skills and Competencies:

  • 3+ years of hands-on experience in data engineering.
  • Proficiency in AWS and Python for building data pipelines.
  • Deep knowledge of cloud platforms, particularly AWS and GCP.
  • Expertise in Snowflake for data storage, querying, and analytics.
  • Knowledge of Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and Performance Optimization.
  • Strong proficiency in Python, PySpark, Spark SQL, and distributed data processing.
  • Experience in designing and executing large-scale cloud migration projects.
  • Ability to architect secure and cost-optimized cloud solutions.
  • Hands-on experience in industry standard cloud migration framework and architecture is must.
  • Architecture of implementing PHI/PII tokenization processes.
  • Strong problem-solving and analytical skills.
  • Excellent written and verbal communication.
  • Ability to lead and work collaboratively in a team environment.

Skills

AWS, BigQuery, Databricks, GCP, Python, Snowflake

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