AWS Data Engineer

Capco
Bengaluru, Pune, Chennai, Gurugram, Mumbai
Full timeFunction: DevOps, Cloud & InfrastructureExperience: 8-12 yearsEducation: bachelorsSkills: ["Problem-solving","Analytical skills","Verbal communication","Interpersonal skills","Technical leadership"]

Design and build scalable AWS-based data pipelines and ETL processes. Use Python, PySpark, Spark SQL, and SQL, along with dbt for transformation, modeling, and testing. Optimize data engineering work with Databricks and migrate legacy data to modern AWS cloud architectures. Support reliable deployments using CI/CD, infrastructure as code (Terraform/CloudFormation), Git, and Agile. Work with AWS services including S3, Glue, Redshift, Athena, EMR, Lambda, and IAM.

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Capco
Capco
1 month ago

AWS Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Closed

Job Summary

Design and build scalable AWS-based data pipelines and ETL processes. Use Python, PySpark, Spark SQL, and SQL, along with dbt for transformation, modeling, and testing. Optimize data engineering work with Databricks and migrate legacy data to modern AWS cloud architectures. Support reliable deployments using CI/CD, infrastructure as code (Terraform/CloudFormation), Git, and Agile. Work with AWS services including S3, Glue, Redshift, Athena, EMR, Lambda, and IAM.
Location: Bengaluru, Pune, Chennai, Gurugram, Mumbai
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Develop scalable data pipelines and ETL processes using Python, PySpark, Spark SQL, and SQL.
  • •Use dbt for data transformation, modeling, testing, and documentation.
  • •Optimize data engineering with Databricks (Databricks certification a plus).
  • •Support automated and reliable deployments using CI/CD, Infrastructure as Code (Terraform/CloudFormation), Git, and Agile.
  • •Migrate data from legacy platforms to AWS and design modern cloud-based data architectures using AWS data services.

Key Requirements

  • •Bachelor’s degree in computer science, engineering, or related field, or equivalent work experience.
  • •8–12 years of experience as an AWS Data Engineer or similar role.
  • •Strong problem-solving and analytical skills.
  • •Excellent verbal communication and good interpersonal skills.
  • •Ability to provide technical leadership for the team.
Experience:8-12 years
Education:Bachelor's
Skills:Problem-solvingAnalytical skillsVerbal communicationInterpersonal skillsTechnical leadership
Certifications:Databricks certification
Languages:English
Tech Stack:AWSPythonPySparkSpark SQLSQLDbtDatabricksCI/CDTerraformCloudFormationGitAgileS3GlueRedshiftAthenaEMRLambdaIAM

Company Brief

Capco
Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.
Industry: Management Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
Founded: 1998
Glassdoor
Glassdoor: 3.7
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