Indium

Data Engineer

Indium

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AirflowAWSDockerETLKubernetesPySparkPython

About the role

  • Assist in building and maintaining ETL/data pipelines using Python and PySpark
  • Ingest, transform, and validate data from multiple sources
  • Support data modeling and schema design for structured datasets
  • Use Git for version control and collaborate with engineering teams
  • Perform unit testing, code reviews, and performance optimization
  • Contribute to technical documentation of data workflows and pipelines
  • Support feature testing and controlled releases in QA/dev environments
  • Perform exploratory analysis using Jupyter/Amazon SageMaker notebooks
  • Work in a Scrum/Agile environment with clear communication and collaboration

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Data Science, or Statistics
  • Experience in Python and PySpark (0–2 years)
  • Basic knowledge of Airflow, AWS S3, and AWS Glue
  • Familiarity with Git and Jupyter notebooks
  • Understanding of Docker/Kubernetes concepts
Benefits
  • Strong attention to detail, willingness to learn, and ability to work in a collaborative team environment
  • Diversity, equity, and inclusion initiatives
  • WE@IN women empowerment program
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPySparkETLdata pipelinesdata modelingschema designunit testingperformance optimizationexploratory analysisDocker
Soft Skills
communicationcollaboration
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data EngineeringBachelor’s degree in Data ScienceBachelor’s degree in Statistics