Careers - Datum Brain

Senior Data Engineer - AWS/Dagster/Python

· Datum Brain

How to Apply?

Send your resume and a cover letter to careers@datumbrain.com.

Any emails received without the exact subject “[Q3 2025] Senior Data Engineer - Datum Brain - Careers” will be discarded by the system automatically.

Work Location

This is an onsite position at our office location.

Responsibilities

  • Design, build, and maintain scalable data pipelines using AWS services (S3, Lambda, Glue, EMR, Redshift, Athena, Kinesis)
  • Implement and manage data orchestration workflows using Dagster
  • Develop robust ETL/ELT processes to handle large-scale data processing
  • Architect data solutions that ensure data quality, reliability, and performance
  • Lead data infrastructure initiatives and mentor junior team members
  • Collaborate with data scientists and analysts to understand data requirements
  • Implement data governance and security best practices
  • Optimize data pipeline performance and cost efficiency
  • Create and maintain technical documentation for data systems
  • Participate in architectural decisions and technology evaluations
  • Mentoring junior engineers

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 5+ years of professional experience in data engineering
  • Strong expertise in AWS data services ecosystem
  • Proficiency in Dagster for workflow orchestration and pipeline management
  • Advanced Python programming skills with experience in data processing libraries (Pandas, PySpark, etc.)
  • Experience with SQL and NoSQL databases
  • Strong understanding of data modeling, data warehousing, and data lake concepts
  • Experience with Infrastructure as Code (Terraform, CloudFormation)
  • Solid understanding of distributed computing and big data technologies
  • Experience with CI/CD pipelines and DevOps practices
  • Strong problem-solving and analytical skills
  • Excellent communication skills and ability to work with cross-functional teams

Bonus Skills

  • Experience with real-time data streaming and processing
  • Knowledge of machine learning pipelines and MLOps
  • Experience with data visualization tools (Tableau, PowerBI, Looker)
  • AWS certifications (Solutions Architect, Data Analytics, or Database)
  • Experience with Apache Spark, Airflow, or dbt
  • Knowledge of data mesh or data fabric architectures

Benefits

  • Competitive salary
  • A friendly and collaborative work environment
  • Clear career growth opportunities
  • Fuel allowance provided in the form of cash (After the completion of the Probation Period)
  • Friday lunch on the house
  • Annual company trips
  • Indoor and outdoor recreational activities to foster team bonding