Posted:5 days ago| Platform: Linkedin logo

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We are looking for a skilled and motivated Data Engineer with 2–4 years of experience to join our team. The ideal candidate will be responsible for building, maintaining, and optimizing scalable data pipelines and infrastructure to support business intelligence, analytics, and data science initiatives.

Key Responsibilities:

  • Design, build, and maintain reliable data pipelines and ETL processes.
  • Work with structured and unstructured data from various sources.
  • Ensure data quality, integrity, and consistency across systems.
  • Collaborate with data analysts, data scientists, and engineering teams to understand data needs.
  • Optimize data workflows for performance, scalability, and cost efficiency.
  • Maintain and improve existing data infrastructure and architecture.

Required Skills:

  • 2–4 years of hands-on experience as a Data Engineer or in a similar role.
  • Proficiency in SQL and Python (or another scripting language).
  • Experience with ETL tools and data pipeline frameworks (e.g., Apache Airflow, Luigi).
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience working with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Strong understanding of database systems, data modeling, and data architecture.
  • Knowledge of version control tools (e.g., Git).

Nice to Have:

  • Experience with real-time data processing tools (e.g., Kafka, Spark).
  • Familiarity with containerization (Docker, Kubernetes).
  • Exposure to CI/CD practices and tools.


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