Data Engineer

Company Overview

Not specified.

Job Summary

The Data Engineer will be responsible for designing, constructing, and maintaining scalable data pipelines and ETL processes to ensure the accuracy, accessibility, and usability of data across the organization. This role is critical in supporting data-driven decision-making and enhancing business intelligence capabilities.

Responsibilities

• Design and implement robust data pipelines for extracting, transforming, and loading (ETL) data from various sources.
• Collaborate with data scientists and analysts to understand data requirements and ensure the availability of high-quality data.
• Optimize data storage solutions to enhance retrieval speed and efficiency.
• Monitor and troubleshoot data pipeline performance, ensuring timely and accurate data delivery.
• Document data processes and systems for compliance and knowledge sharing purposes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and database management systems (e.g., PostgreSQL, MySQL, or MongoDB).
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
• Understanding of data modeling principles and data warehouse concepts.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills for effective collaboration with cross-functional teams.

Preferred Skills

• Experience with cloud services (e.g., AWS, Azure, or Google Cloud).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning and data science concepts.

Experience

Not specified.

Environment

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Salary

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Growth Opportunities

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Benefits

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