layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Software Engineer — Distributed Compute / Spark Systems at Granica | LAYIQ

Strong engineering depth in distributed systems, data processing systems, query engines, databases, or cloud infrastructure
Production experience with distributed compute or query systems such as Apache Spark, Spark SQL, Trino, Presto, Flink, Databricks, EMR, Glue, Hive, or similar systems
Hands-on experience improving performance, reliability, or cost efficiency for large-scale data-processing workloads
Understanding of distributed execution, query planning, scheduling, resource management, fault tolerance, and workload isolation
Experience with Spark internals, Spark SQL, Catalyst, Adaptive Query Execution, shuffle, joins, aggregation, spill, memory management, or task scheduling
Familiarity with lakehouse formats and columnar data such as Iceberg, Delta Lake, Hudi, Parquet, or ORC
Familiarity with cloud object storage systems such as S3, GCS, or ADLS and the performance tradeoffs of running distributed compute on top of them
Strong programming skills in Scala, Java, Go, Rust, C++, or similar systems-oriented languages
Curiosity about workload optimization, cost modeling, adaptive execution, and how compute efficiency affects AI and analytics at scale
A pragmatic builder’s mindset: rigorous, hands-on, and comfortable owning complex systems end to end
Bonus
Experience contributing to Apache Spark, Spark SQL, Trino, Presto, Flink, Velox, DuckDB, DataFusion, Iceberg, Delta Lake, Hudi, Parquet, ORC, or related systems
Experience with Catalyst, Adaptive Query Execution, cost-based optimization, query planning, vectorized execution, or distributed runtime systems
Experience optimizing joins, aggregations, shuffles, scans, spills, caching, partitioning, skew handling, or task scheduling
Experience building workload schedulers, execution control planes, resource managers, or multi-engine compute platforms
Experience reducing compute cost or improving workload efficiency in large-scale production data environments
Background in query engines, distributed runtimes, storage-aware execution, indexing, caching, encoding, compression, or adaptive query optimization
Research or open-source contributions in distributed systems, databases, query processing, data processing, or cloud infrastructure

Senior Software Engineer — Distributed Compute / Spark Systems

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