About
Skill Cluster : Data-GCP Data Plex, with Data Governance, Data Catalog, Data Lineage, Data Quality.
We are seeking a highly skilled Data Engineer with strong hands-on experience in BigQuery and Apache Iceberg to design, build, and optimize scalable data platforms.
The ideal candidate will have deep expertise in modern data lakehouse architectures, distributed data processing, and cloud-native data pipelines.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using BigQuery and Iceberg-based data lake architectures
Implement and manage Apache Iceberg tables for large-scale, high-performance analytics workloads
Build efficient data ingestion, transformation, and storage solutions supporting batch and streaming use cases
Optimize query performance, partitioning strategies, and storage formats for cost and performance efficiency
Collaborate with data scientists, analysts, and platform teams to deliver high-quality datasets
Ensure data quality, governance, and reliability across pipelines and platforms
Contribute to architecture decisions for lakehouse and modern data platform design
Required Skills & Qualifications
10+ years of experience in Data Engineering / Data Platform development
Strong hands-on expertise in:BigQuery (data modeling, performance tuning, cost optimization)Apache Iceberg (table design, partitioning, schema evolution, time travel)
Experience with SQL and distributed data processing frameworks
Strong understanding of data lakehouse architectures
Experience working with large-scale datasets and cloud-native data platforms
Proficiency in Python / Java / Scala
Nice to Have
Experience with: Dataflow (Apache Beam) for batch/stream processing
Pub/Sub for real-time data ingestion
Familiarity with GCP ecosystem (Cloud Storage, Composer, IAM)Exposure to CI/CD, DataOps, and orchestration tools
Understanding of data governance and lineage frameworks
Languages
- English
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