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Python Engineer

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Hybrid

Python Engineer

Carelon Global Solutions

Python Engineer

Skills

SQL QueriesData EngineeringData MiningPythonSnowflakeData AnalysisAWSPySparkCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

8 September 2026

What they need


JOB PURPOSE

  • Carelon Global Solutions India is seeking for a Software Engineer I.
  • Associate is responsible for collaborating with data architects to implement data models and ensure seamless integration.

JOB RESPONSIBILITY

  • Design and develop data ingestion pipelines to extract data from various sources to transform, aggregate and enrich the data.
  • Implement Data governance policies and procedures to ensure data quality, security and compliance.
  • Design scalable, secure and efficient data pipelines on AWS and snowflake aligning with business requirements and technical standards.
  • Design and develop data warehousing solutions using Python and Snowflake.
  • Optimize AWS and snowflake costs by implementing cost effective solutions and monitor the expenses.
  • collaborate with cross functional teams( Development, Operations and Business) to ensure seamless integration.
  • Troubleshoot and resolve complex queries in Snowflake, Python and AWS.
  • Ensure security and compliance best practices ,implementing controls and Monitoring.
  • Provide data analytics solutions using Python, AWS and snowflake
  • Stay up-to-date with innovations, features and best practices.

QUALIFICATION

Requires a Bachelor Degree in Information Technology/Data Engineering or similar combination of education and experience which would provide an equivalent background and minimum of 3-4 years of experience in SQL/Python.

EXPERIENCE

3-4 years of SQL and Python experience

SKILLS AND COMPETENCIES

  • SQL: Proficiency in SQL, including querying, data modelling and performance optimization
  • Data Warehousing: Experience with Data warehousing concepts, including data modelling, ETL and data governance.
  • Data Integration: Knowledge of data integration such as ETL, ELT or data pipelines
  • Data Analytics: Familiarity with Data Analytics ensuring data quality and availability.
  • In depth knowledge on Python/Pyspark.

Having knowledge on AWS and Snowflake is an added advantage.

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