Relevant experience :

- 610 years of experience in data engineering, ETL development, or data warehousing, with at least 2 years in a team lead or managerial capacity.

- Hands-on experience building and maintaining data pipelines, preferably in Fintech, Banking, or high-volume transactional environments.

- Deep knowledge of data lakehouse architecture, real-time streaming, and batch processing systems.

- Proven ability to collaborate with data scientists, analysts, and product teams to deliver trusted, high-quality data products.

Required certifications :

- Preferred : Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer Associate

- Apache Spark, Kafka, certifications

Key responsibilities :

- Design, develop, and maintain scalable, reliable data pipelines and integration workflows across multiple systems.

- Lead a team of data engineers to build and support enterprise-grade data platforms.

- Ensure data quality, lineage, and governance are embedded in engineering solutions.

- Optimize data ingestion, transformation, and storage in cloud and hybrid environments.

- Collaborate with architecture, governance, and analytics teams to ensure alignment with business needs and platform strategy.

- Stay current with evolving data engineering best practices and emerging technologies.

The job is for:

May work from home