Data Platform Engineer

Profile 1: Data Platform Engineer ( Dubai)

• Task: Design, build, integrate and operate enterprise data and AI platforms and tooling (Confluent, Databricks, dbt, OpenMetadata).
• Expertise:
• CDC replication and event streaming (Confluent, Kafka)
• Data lake architecture (Databricks, Delta Lake, Unity Catalog)
• Metadata management (catalog, lineage, data quality, context layer)
• Data orchestration and engineering automation (Airflow, Dagster, dbt)
• Platform engineering and DevOps (Kubernetes, Docker, CI/CD, Infrastructure as Code, monitoring)
• Data protection and security (PII handling, masking, access controls, data policies)
• Platform observability, incident response and operational support
• Performance optimization, workload management and cost monitoring
• Expected outcomes:
• Reliable, scalable and secure data and AI platform services
• Self-service capabilities for engineering, analytics and AI teams
• Well-governed metadata, lineage and context management
• High platform availability, performance and operational excellence
• Efficient and cost-effective platform usage
• Banking, regulated-industry or large-enterprise experience preferred. Experience with both modern and traditional data platforms (e.g., Databricks, Oracle, Informatica) is appreciated.
• Must have: Demonstrated use of AI-assisted development, context layers and agentic data-related workflows.

Profile 2: Data Engineer (Dubai)

• Task: Build, operate and optimize data ingestion, processing and transformation pipelines that deliver trusted, business-ready data products.
• Expertise:
• Data modeling (Medallion Architecture, Data Mesh, Data Vault)
• Data transformation frameworks (dbt, Databricks Declarative Pipelines)
• Python and SQL development
• Data quality engineering (Soda, Great Expectations, dbt tests, Databricks quality frameworks)
• Data pipeline design, optimization and troubleshooting
• Business and product understanding
• Analytical mindset and problem-solving
• Ability to engage effectively with data consumers including analysts, data scientists and business stakeholders
• Expected outcomes:
• Reliable and maintainable ingestion and transformation pipelines
• High-quality, trusted and well-documented datasets
• Consistent and scalable data models aligned with business requirements
• Strong adoption of data products by business and analytics teams
• Effective monitoring and resolution of data quality issues
• Banking, regulated-industry or large-enterprise experience preferred. Experience with both modern and traditional data platforms (e.g., Databricks, Oracle, Informatica) is appreciated.
• Must have: Demonstrated use of AI-assisted development, context layers and agentic data-related workflows.

Pay: ₹1,000,000.00 - ₹2,500,000.00 per year

Application Question(s):

• This Position is for Dubai, you are OK to relocate?

Experience:

• Data Platform : 10 years (Required)

Willingness to travel:

• 100% (Required)

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka