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Junior Data Engineer

Noida,IN Full-time Hybrid

About the role

Data Engineering Team at Fifty Five Technologies builds scalable data pipelines and processing solutions to enable business intelligence across multiple industries. The Junior Data Engineer designs, develops, and maintains ETL/ELT workflows, writes optimized SQL queries, and creates Python data processing scripts while collaborating with analysts and stakeholders. Role is based in India with a hybrid work model, supporting cloud environments such as AWS, Azure, or GCP.

What you’ll do

  • Design, build, and maintain reliable data pipelines
  • Develop and optimize ETL/ELT processes for data ingestion and transformation
  • Write efficient SQL queries for data extraction and validation
  • Create Python workflows for data processing
  • Collaborate with cross‑functional teams to gather requirements and deliver solutions
  • Monitor, troubleshoot, and improve pipeline performance
  • Ensure data quality, consistency, and governance standards
  • Participate in code reviews, testing, and deployment activities

What you’ll bring

  • 3-5 years data engineering experience
  • Strong proficiency in Python
  • Strong expertise in SQL
  • Hands‑on experience with AWS, Azure, or GCP
  • Experience with ETL/ELT processes
  • Understanding of data modeling and warehousing
  • Ability to work with large datasets
  • Excellent communication and collaboration skills