Data Engineer with ETL Integration

Company Overview

Company Name: Not specified
Industry: Not specified
Culture: Not specified

Job Summary

The Data Engineer with ETL Integration plays a crucial role in developing, managing, and optimizing data pipelines. This position is essential for ensuring that the data infrastructure supports the organization’s analytical and operational needs.

Responsibilities

• Design, build, and maintain scalable and robust ETL (Extract, Transform, Load) processes to move data between systems efficiently.
• Develop data models and database structures to support data analytics and reporting.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
• Monitor and troubleshoot data pipelines to ensure high availability and performance.
• Implement data quality checks and validation processes to maintain data integrity.
• Create documentation and provide training on ETL processes and data systems for internal stakeholders.

Qualifications

• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools such as Apache NiFi, Talend, or Informatica.
• Experience with programming languages such as Python, Java, or Scala for data manipulation.
• Understanding of data warehousing concepts and technologies.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Educational qualifications: Bachelor's Degree in Computer Science, Information Technology, or a related field.

Preferred Skills

• Experience with big data technologies like Hadoop or Spark.
• Knowledge of data visualization tools such as Tableau or Power BI.
• Familiarity with machine learning concepts and practices.
• Certification in relevant technologies or data engineering practices.

Experience

• A minimum of 3 years of experience in data engineering or a related field is preferred.
• Experience working with large datasets and designing complex ETL processes.

Environment

The typical work setting is a collaborative office environment, with opportunities for remote work depending on company policies. The position may require occasional overtime to meet project deadlines.

Salary

Estimated salary range: Not specified.

Growth Opportunities

Potential career advancement opportunities within the company may lead to senior data engineering roles or related positions in data architecture and management.

Benefits

• Not specified.