Data Engineer

Responsibilities:

Design, build, and maintain scalable data pipelines for extracting, transforming, and loading
data into warehouses or lakes.

Collaborate with stakeholders to understand data requirements and implement technical
solutions.

Develop and optimize data models and structures to support efficient storage and analysis.

Ensure data quality and integrity through cleaning, validation, and quality assurance
processes.

Monitor and troubleshoot data pipelines to ensure reliability and availability.

Implement security measures and compliance with data privacy regulations.

Stay updated on emerging technologies and recommend improvements to existing
processes.

Collaborate with teams to support data-driven decision-making and business insights.

Requirements:

Bachelor's degree in Computer Science or related field.

Proven experience in data engineering, with expertise in building data pipelines and ETL
processes.

Strong programming skills in Python, Java, or Scala, and proficiency in SQL.

Experience with big data technologies, cloud platforms, and distributed computing.

Familiarity with data warehousing concepts and dimensional modeling.

Excellent problem-solving skills and attention to detail.

Effective communication and collaboration abilities.

Adaptability to evolving business requirements.

Qualifications:


Success in designing and implementing scalable data solutions.

Experience with agile development methodologies and version control systems.

Strong analytical skills and the ability to derive actionable insights from complex data.

Commitment to continuous learning and professional development.