Senior Data Engineer

- Developing and maintaining data pipelines for efficient data extraction, transformation, and loading ETL processes.

- Designing and optimizing data storage solutions, including data warehouses and data lakes.

- Ensuring data quality and integrity through data validation, cleansing, and error handling.

- Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence).

- Implementing data security measures and access controls to protect sensitive information.

- Automating and improving data processes and workflows for scalability and efficiency.

- Monitoring data infrastructure for performance and reliability to address issues promptly.

- Keeping abreast of industry trends and emerging technologies in data engineering.

- Documenting data pipelines, processes, and best practices for knowledge sharing.

- Participating in data governance and compliance efforts to meet regulatory requirements.

- Collaborating with cross-functional teams to drive data-driven decision making within the organization.

- Educational Background: Bachelorʼs degree in Computer Science, Engineering, Information Technology, or a related field.

-  For Senior: > 3 years of relevant experience in data engineering or a similar role.

 Technical Skills:

- Proficiency in data modeling and database management.

- Strong programming skills (e.g., Python, Java, or SQL) .

- Knowledge of big data technologies like Hadoop and Spark. Experience with ETL ( Extract, Transform, Load) processes. 2 Data Engineer )

- Familiarity with data warehousing and cloud platforms (e.g., AWS, Azure, or Google Cloud)

• Degree: Bachelor
• Age: 25 - 32
• Working time: Permanent