Data Engineering
  • Full Time
  • 1 Opening Positions

Data Engineer

As a Data Engineer at Tycheverse, you will play a key role in building and maintaining the data infrastructure that powers our data-driven decisions. You'll work closely with data analysts and cross-functional teams to ensure seamless, reliable, and efficient data processing.

Responsibilities:

  • Design and maintain ETL pipelines for data extraction, transformation, and loading.
  • Develop resilient data architecture aligned with organizational goals.
  • Ensure data quality through checks, governance policies, and validation processes.
  • Manage and troubleshoot database solutions for optimal performance.
  • Collaborate with teams to meet data requirements and document processes.
  • Implement machine learning systems and run ML experiments to support business insights.

Requirements:

  • Bachelor’s in Computer Science or related field.
  • Experience in building ETL pipelines and cloud data architectures.
  • Proficiency in Python, SQL, and data integration tools (e.g., Spark, Airflow).
  • Familiarity with cloud platforms (AWS, Azure) and machine learning frameworks (Keras, PyTorch).
  • Strong problem-solving skills and effective communication.

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