Trino Developer

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infosys is seeking an experienced data migration specialist in Bengaluru to lead large-scale migrations involving Trino, Snowflake, and Spark Trino. You will operate Kubernetes-based Trino clusters and build data-validation frameworks, ensuring correctness and performance across analytics workloads.

The role requires strong SQL, Python/Java/Scala programming, and experience with Airflow or Dagster to orchestrate pipelines and enable reliable data movement.

Qualifications

• Hands-on experience with Trino/PrestoSQL and migration at scale.
• Strong SQL expertise with complex analytical queries.
• Experience with Apache Iceberg and table schema evolution.
• Familiarity with Snowflake and Spark workloads for migration.
• Understanding of MPP, partition pruning, and predicate pushdown.
• Experience with cloud object storage and Parquet/ORC formats.
• Proficient in Python/Java/Scala for tooling and UDFs.

Responsibilities

• Lead Snowflake/Trino or Spark Trino migrations at scale.
• Operate Trino on Kubernetes and manage deployments.
• Design data validation and reconciliation frameworks for parity.
• Build or migrate pipelines with Airflow, Dagster, or similar.
• Develop UDFs and connectors, with potential cold-start optimizations.
• Coordinate with analytics, platform, and business teams for migration decisions.

Skills

SQL

Python

Java

Scala

Data migration

Data profiling

Performance tuning

Statistical querying

Education

Bachelor of Engineering

Tools

Trino

Iceberg

Snowflake

Spark

Kubernetes

Airflow

dbt

Dagster

Flink

Kafka

Debezium

Git

Job description

Educational Requirements

• Bachelor of Engineering

Service Line

• Data Analytics Unit

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 migrateexisting 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, andautomation.
• Version control (Git) and CI/CD for data pipelines.

Additional Responsibilities

• Strong analytical and problem-solving mindset for debugging correctness and performance issues.
• Clear communication able to document migration decisions and work with analytics, platform, andbusiness teams.
• Ownership mentality with attention to data correctness and reliability.

Technical and Professional 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.

Preferred Skills

• Technology->Big Data - Data Processing->Spark->SparkSQL
• Technology->Data on Cloud-DataStore->Snowflake