We are seeking a skilled Data Engineer to design, build, and maintain efficient data pipelines and architectures that support our analytics and business intelligence initiatives. The ideal candidate should have hands-on experience in data integration, ETL development, and cloud-based data platforms.

Key Responsibilities :

- Design and implement data pipelines for ingestion, transformation, and storage of large datasets.

- Develop and maintain ETL processes to ensure data quality, consistency, and availability.

- Collaborate with data analysts, scientists, and business teams to support data-driven initiatives.

- Optimize data workflows for scalability and performance.

- Manage and monitor data warehouses and data lakes on cloud platforms.

- Ensure compliance with data governance, security, and privacy standards.

Technical Skills :

- Proficiency in Python, SQL, and ETL tools (Informatica, Talend, or Apache Airflow).

- Experience with big data technologies such as Spark, Hadoop, or Kafka.

- Working knowledge of cloud platforms (AWS, Azure, or GCP).

- Familiarity with data warehousing concepts and tools like Redshift, Snowflake, or BigQuery.

- Experience with data modeling, schema design, and API integrations.

- Understanding of version control (Git) and CI/CD pipelines.