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Senior Software Engineer

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Onsite

Senior Software Engineer

Elevancehealth

Senior Software Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonSnowflakeDatabricksData AnalysisAWSPySpark

15 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

8 October 2026

What they need


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

  • Platform Development:
  • Lead the design and implementation of cloud ingestion and migration platforms.
  • Develop robust and scalable ETL pipelines for data processing and transformation.
  • Cloud Integration:
  • Leverage AWS and GCP to design, deploy, and maintain scalable cloud-based architectures.
  • Optimize data storage, retrieval, and analytics solutions using Snowflake/Bigquery/Databrick.
  • Data Operations:
  • Implement solutions for real-time and batch data ingestion.
  • Ensure data pipelines are reliable, scalable, and secure.
  • Collaboration & Stakeholder Management:
  • 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

  • 4+ 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

Technical Expertise:

  • 4+ 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.

Cloud Migration & Architecture:

  • 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.

Soft Skills:

  • Strong problem-solving and analytical skills.
  • Excellent written and verbal communication.
  • Ability to lead and work collaboratively in a team environment.

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