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Data Engineer (4–5 Years Experience)

Experience Required: 4–5 Years
Employment Type: Full-time

Job Overview

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong experience working with large datasets, cloud platforms, and modern data engineering tools.

 

Key Responsibilities

  • Design and develop ETL/ELT pipelines for data processing and integration.
  • Build and maintain scalable data pipelines to support analytics and reporting.
  • Work with large datasets from multiple sources and ensure data accuracy.
  • Optimize data storage and query performance.
  • Collaborate with data analysts, data scientists, and engineering teams.
  • Implement data quality, security, and governance practices.

 

Required Skills

  • Strong programming skills in Python and SQL
  • Experience with ETL tools and data pipeline development
  • Hands-on experience with Apache Spark / Hadoop / Airflow
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of data warehousing and data modeling concepts
  • Preferred Qualifications
  • Experience with Snowflake, Kafka, or Databricks
  • Familiarity with Docker and Kubernetes
  • Experience working in Agile development environments
     

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.