Senior Data Engineer - Data Lake

We are seeking an experienced Backend Data Engineer to architect, build, and optimize next-generation analytical data lakes and high-speed search platforms. You will solve complex business challenges by modeling massive datasets and ensuring fast, low-latency data retrieval.
Key Responsibilities
Translate complex business problems into scalable data lake architectures.
Build and manage modern data lakes using open table formats (Apache Iceberg, handling schema evolution, partitioning, and compaction strategies .
Model and process large volumes of complex data to drive downstream analytics and high-performance querying .
Implement and tune search and analytics engines (OpenSearch for real-time document indexing and low-latency search layers .
Write high-throughput data ingestion pipelines, backend services, and test frameworks using C# / .NET.
Provision and maintain cloud-native infrastructure on AWS (utilizing S3 tiers and lifecycle policies) alongside Kubernetes / Amazon EKS .
Qualifications
Core Engineering: 8+ years of professional backend software development experience with expert-level proficiency in C# / .NET Core .
Data Architecture: Demonstrated history of designing, scaling, and maintaining production-grade data lakes and data warehouses .
Modern Table Formats: Deep hands-on experience with Apache Iceberg features including custom partitioning and compaction .
Search Technologies: Practical implementation background with OpenSearch or Elasticsearch for enterprise search and log indexing .
Cloud & Containers: Strong competencies in AWS storage tiers and Kubernetes orchestration .
Nice to Have: Exposure to distributed processing engines such as Apache Spark, Trino, or Flink

Work arrangement
Hybrid