Data Engineer-ETL Tools & Python

Data Scientist
Remote
June 5, 2026
Full Time
Application ends: September 4, 2026
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Job Description

We are seeking a Data Engineer in the Incident Response Tooling team to design, develop and implement data pipelines to source data from internal or external sources using various technologies like API (REST / Graph), Data Brokers, ETL tools, etc. The ideal candidate will have strong analytical skills, ability to spot data anomalies in large volume of data, willingness learn new technologies, and collaborative nature to work in a team setting.

Responsibilities

  • Design and implement RESTful APIs to support backend data engineering pipelines and front-end functionality in case of web application.
  • Develop data flows using ETL tools.
  • Spot patterns, correlate data and understand its value in solving business use cases.
  • Collaborate with the development team to define and implement CI/CD pipelines.
  • Utilize Git for version control and collaborate on code reviews.
  • Ensure the performance, quality, and responsiveness of data pipelines and applications.
  • Identify and fix bugs and performance bottlenecks.
  • Stay up-to-date with emerging technologies and industry trends.

Qualifications

  • 5+ years of experience in data engineering projects and bachelor’s degree in Software Engineering, Computer Science, Mathematics, or Information Systems.
  • At least 3+ years of experience in Python and Python Frameworks e.g. Django, FastAPI etc.
  • Experience in developing RESTful APIs.
  • Good experience of working on Kubernetes, Docker and containerized platform.
  • Hands-on experience on ELK stack with experience in building logstash pipeline for a high volume data flow.
  • Proficiency with data flow solutions like Apache Nifi, Apache Airflow, AWS Glue, Azure Data Factory or similar tools.
  • Experience with relational database management systems such as Microsoft SQL Server, Postgres.
  • Basic knowledge of Linux based systems
  • Experience in building data pipeline using Google Cloud native services.
  • Knowledge on usage of CICD tools.
  • Soft Skills – analytical attitude, critical thinking, self-driving, proactive.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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