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Data Engineer (Remote)

Data Engineer (Remote)

QAAgility Technologiesbaddi, himachal pradesh, in
8 hours ago
Job type
  • Remote
Job description

Job Title - Data Engineer

Job Type - Remote

Experience - 6+ Years

Job Description -

We are seeking an experienced Data Engineer to join our Supply Chain ART team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines that support key business functions across the supply chain domain. This role requires strong technical expertise in Python, Databricks, Alteryx, and SQL, along with the ability to work in an agile environment to deliver high-quality data solutions.

Key Responsibilities

  • Design, build, and optimize scalable data pipelines and ETL processes to support supply chain analytics and operational reporting.
  • Work with cross-functional teams to understand data requirements and translate them into efficient data engineering solutions.
  • Develop and maintain workflows using Databricks , Alteryx , and other data engineering tools.
  • Write efficient and reusable code in Python to automate data processing and transformation tasks.
  • Create, manage, and optimize complex SQL queries for data extraction, transformation, and analysis.
  • Ensure data quality, integrity, and consistency across all pipelines and data platforms.
  • Participate in Agile ceremonies as part of the Supply Chain ART, contributing to planning, estimations, and continuous improvement.
  • Troubleshoot data pipeline issues and optimize performance as needed.
  • Collaborate with data architects, analysts, and business stakeholders to deliver end-to-end data solutions.

Required Skills & Qualifications

  • 6–7 years of professional experience as a Data Engineer or in a similar data-focused role.
  • Strong hands-on experience with :
  • Python (data processing, automation, scripting)
  • Databricks (Spark, Delta Lake)
  • Alteryx (workflows, automation)
  • SQL (advanced queries, optimization)
  • Experience working in Agile or SAFe environments is a plus.
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Preferred Qualifications

  • Experience in supply chain data or operations analytics.
  • Exposure to cloud platforms (Azure / AWS / GCP).
  • Knowledge of CI / CD practices for data engineering.
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