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Data Analytics Engineer @ Capgemini

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 Data Analytics Engineer

Job Description

Role: Data Engineer / Analytics Engineer
Experience: 6-9 Years
Location: Hyderabad/Pune

About the Role

We are hiring a Data Engineer to build and maintain scalable data pipelines, clean and validate datasets, and collaborate with business teams to deliver actionable insights. The ideal candidate will have hands-on experience with Python, SQL, and cloud-based data engineering tools.


Key Responsibilities

  • Design and develop ETL/ELT pipelines using Python and SQL
  • Write scripts to detect and fix data anomalies, duplicates, and missing values
  • Collaborate with analysts and stakeholders to understand data needs
  • Modernize legacy systems and align with enterprise standards
  • Work with AWS services like S3, Glue, Lambda, Redshift, Athena (preferred)

Required Skills

  • Python (Intermediate, 13 years)
  • SQL (Intermediate, 46 years)
  • ETL pipeline development
  • DevOps / MLOps understanding
  • AWS Cloud
  • Insurance domain experience

Job Classification

Industry: Insurance
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Hyderabad

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Keyskills:   MLOps ETL Devops Python SQL Data Validation Power Bi Cloud Data Mining AWS Data Governance Pipeline

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