Trino Developer

Infosys · Bangalore, India · 1-3 years · Full-time

Key skills

We are looking for a Trino Developer who can own query engine performance, lead migration of existing

pipelines and warehouses, and help establish a scalable, cost-efficient lakehouse architecture.

You will work at the intersection of query engineering, data modeling, and platform operations - translating

legacy Snowflake/Spark logic into performant Trino + Iceberg workloads while ensuring correctness, parity, and

reliability.

Technical Requirements:

Experience leading a Snowflake ® Trino or Spark ® Trino migration at scale.

Trino cluster administration and deployment on Kubernetes.
Workflow orchestration (Airflow, Dagster, or similar) and dbt.
Experience building data-validation / reconciliation frameworks for migration parity.
Knowledge of Trino internals or connector development (contributing custom connectors/UDFs).
Streaming/CDC ingestion into Iceberg (Kafka, Flink, Debezium).
Data governance, lineage, and cost-optimization tooling.

Responsibilities:

Hands-on production experience with Trino (or PrestoSQL/Presto).

Strong, deep SQL expertise - complex analytical queries, window functions, CTEs, query optimization.
Hands-on experience with Apache Iceberg (or comparable open table formats - Delta Lake, Hudi)

including schema/partition evolution and table maintenance.

Practical experience with Snowflake and/or Apache Spark - enough to read, understand, and migrate

existing workloads.

Understanding of distributed query execution: MPP architecture, join distribution, memory/spill behavior,

partition pruning, and predicate pushdown.

Experience with cloud object storage and columnar file formats (Parquet, ORC).
Proficiency in at least one programming language (Python, Java, or Scala) for tooling, UDFs, and

automation.

Preferred Skills:

Technology->Big Data->Big Data - ALL,Technology->Big Data->Text Analytics