IN

Trino Developer

Infosys Limited
Bangalore Posted 13 Oct 2026
FULL TIME
snowflake
Git
Scala
Kafka
Apache Spark
+6 more

Job Description

Job Overview:

  • We are seeking a Trino Developer to take charge of enhancing query engine performance, spearheading the transition of current
  • pipelines and data warehouses, and assisting in the creation of a scalable, cost-effective lakehouse architecture.
  • Your role will integrate query engineering, data modeling, and platform operations, converting
  • legacy Snowflake and Spark logic into efficient Trino Iceberg workloads while maintaining accuracy, consistency, and
  • reliability.

Main Responsibilities:

  • Practical experience in production environments with Trino or PrestoSQL Presto.
  • Extensive SQL knowledge, including complex analytical queries, window functions, CTEs, and query optimization.
  • Hands-on experience with Apache Iceberg or similar open table formats such as Delta Lake and Hudi,
  • including schema evolution and table management.
  • Familiarity with Snowflake and/or Apache Spark to analyze, comprehend, 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 like Parquet and ORC.
  • Proficiency in at least one programming language such as Python, Java, or Scala for developing tooling, UDFs, and
  • automation tasks.
  • Familiarity with version control systems like Git and CI/CD practices for data pipelines.

Technical Qualifications:

  • Experience leading large-scale migrations from Snowflake to Trino or from Spark to Trino.
  • Administering and deploying Trino clusters on Kubernetes.
  • Workflow orchestration tools such as Airflow, Dagster, or similar, and dbt.
  • Proven experience in developing data validation and reconciliation frameworks for migration accuracy.
  • Knowledge of Trino internals or connector development, including contributing custom connectors and UDFs.
  • Experience with streaming CDC ingestion into Iceberg using technologies like Kafka, Flink, and Debezium.
  • Familiarity with data governance, lineage, and cost optimization tools.

Additional Expectations:

  • A strong analytical and problem-solving approach to troubleshoot accuracy and performance issues.
  • Effective communication skills to document migration strategies and collaborate with analytics platforms and
  • business units.
  • A proactive ownership approach with a focus on data accuracy and reliability.

Preferred Expertise:

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