Data Engineer

11 hours ago

bangalore, India HISH IT SERVICES Full time

Role : Data Engineer

Location: Remote(Banglore,Chennai,Pune)

Job type: Full time

Pay : 14LPA - 18 LPA(Based on Experience)

Timings : A couple of hours overlap with EST, as the client is Canada-based (till 12AM IST)

Start Date : 20th October 2025

Job Description:

We are seeking an experienced Data Engineer with strong expertise in scheduling/orchestration tools (Autosys, Airflow), Python scripting, and Google Cloud Platform (GCP) to support a critical data engineering initiative. The role focuses on building, optimizing, and automating data pipelines in GCP using BigQuery and DAG orchestration. The ideal candidate is hands-on, proactive, and eager to leverage modern cloud tools to deliver scalable data solutions.

Task Desciption

  • 5+ Years of experience as Data Engineer with GCP experience
  • Design, develop, and maintain data pipelines leveraging Airflow (DAGs) and Autosys for scheduling and orchestration.
  • Build, optimize, and maintain scalable solutions in Google Cloud Platform with a focus on BigQuery.
  • Write, test, and deploy Python scripts for automation, data transformations, and workflow efficiency.
  • Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions.
  • Troubleshoot, debug, and optimize workflows for reliability, scalability, and performance.
  • Maintain clear documentation of data pipelines, workflows, and implemented solutions.

Required Qualifications

  • Hands-on experience with Autosys and Airflow for scheduling and orchestration.
  • Strong Python scripting skills for automation and data engineering tasks.
  • Proven experience with Google Cloud Platform, specifically BigQuery and DAG orchestration.
  • Solid understanding of workflow automation, data integration, and monitoring.
  • Independent problem solver with strong analytical and troubleshooting skills.
  • Excellent communication and documentation abilities.

Please send your resumes to hr@hish.ca

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