Data Designer/engineer

Barclays

Pune, India
Aws data engineering (s3, glue, emr, athena, iam)
Advanced python development for data engineering
Apache spark / pyspark hands-on experience
Build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security

Job Summary

  • Build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security.
  • Design and implement data architectures, pipelines, warehouses, and lakes adhering to security and volume requirements.
  • Collaborate with data scientists to build and deploy machine learning models, and advise on complex issues to support resolution.

Matching Summary

Build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security.

Skills & Requirements

Must-have

  • AWS data engineering (S3, Glue, EMR, Athena, IAM)
  • Advanced Python development for data engineering
  • Apache Spark / PySpark hands-on experience
  • Databricks development and optimization
  • Apache Airflow and Astronomer experience
  • Strong SQL skills with large datasets
  • CI/CD, Git, and DevOps for data platforms

Nice-to-have

  • Mentoring junior engineers and promoting best practices
  • Championing engineering excellence and automation
  • Effective communication with stakeholders
  • Problem-solving and analytical mindset
  • Ownership and accountability for deliverables

Key Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Cloud or data engineering certifications (AWS / Databricks) are desirable
  • Experience in financial services or regulated environments is preferred

Work Rights

Not specified

Tailored Resume

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