Data Engineer

Job Overview :

Key Responsibilities :

- Design, develop, and maintain robust and scalable data pipelines using various ETL/ELT tools and techniques.

- Optimize data solutions for performance, reliability, and scalability.

- Collaborate with data scientists, analysts, and other engineering teams to understand data

requirements and deliver effective data solutions.

- Ensure data quality, integrity, and security across all data processes and storage.

- Troubleshoot and resolve complex data-related issues.

- Implement data governance and compliance best practices.

- Participate in code reviews and contribute to the continuous improvement of data engineering standards and processes.

Requirements :

- 4 - 9 years of experience as a Data Engineer.

- Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling.

- Experience with relational databases (e.g., PostgreSQL, MySQL, Oracle) and/or NoSQL

databases (e.g., MongoDB, Cassandra).

- Familiarity with version control systems, preferably Git.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

Preferred Qualifications :

- Experience with cloud data platforms (AWS, Azure, GCP) and their data services (S3, Redshift, Glue, Azure Data Factory, BigQuery, Dataflow).

- Experience with data orchestration tools (Airflow, Azure Data Factory).

- Familiarity with data governance tools and practices.