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Itineris

Delivers CIS and ERP for utilities

Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in data infrastructure, platform engineering, or related backend roles.
  • Deep knowledge of Apache Spark internals, including partitioning, skew, file sizing, join strategies, and reading execution plans.
  • Knowledge of lakehouse or warehouse design, including Iceberg or Delta.
  • Knowledge of efficient storage design, including partitioning, Z-ordering, and compaction.
  • Knowledge of data replication and change data capture, plus batch and streaming ingestion using technologies such as Kafka, Event Hubs, or IoT Hub.
  • Knowledge of schema and data contract governance.
  • Knowledge of SQL and analytical data modeling, including current state, slowly changing dimensions, merges and upserts, and dimensional modeling.
  • Proficiency in Python and strong software engineering and containerized application development skills, such as Docker or Kubernetes; able to build well-tested, modular, performant code.
  • An observability mindset for data systems, including metrics, tracing, and logging.

Responsibilities

  • Own the Apache Iceberg lakehouse end to end, including REST catalog operations using Polaris, table maintenance, storage layout, and merge-on-read versus copy-on-write tradeoffs for each table.
  • Build and operate change data capture, replication, batch, and streaming ingestion pipelines for analytics, operational, and AI/ML consumers.
  • Tune the cost and performance of distributed compute and storage, including incremental versus full rewrites, spot capacity, autoscaling, and file sizing.
  • Provision data-specific features such as databases, feature stores, and model registries.
  • Deliver version-aware snapshots and slowly changing dimension publishing, including cross-window deduplication, deterministic and auditable snapshot assembly, and merges or upserts into well-contracted consumer stores.
  • Enforce data quality, lineage, and access and classification controls across batch and streaming data.
  • Orchestrate and operate scheduled, idempotent pipeline runs, including failure recovery and retries.
  • Provide well-contracted data stores and access APIs designed for portability across the company's multi-cloud SaaS, hybrid, and federated footprint.
  • Ship through GitOps and infrastructure as code, including declarative deployment with ArgoCD and Helm and infrastructure as code with Bicep; own the pipeline, not just the code.

Desired Qualifications

  • Infrastructure-as-code familiarity is a plus.
  • Experience operationalizing ML data, including feature stores, model or feature serving contracts, and drift or monitoring data; model development remains with the AI Practice.
  • Experience building prediction-serving, write-back, and feedback-label pipelines that connect model outputs back into UMAX's NEXUS integration layer to support AI/ML initiatives.
  • Experience with document stores such as Cosmos DB or MongoDB.
  • Experience with regulated or utility customer data.

About the Company

Itineris

Delivers CIS and ERP for utilities

Itineris provides CIS and ERP software tailored for utilities, focusing on water, gas, and electric utilities. Its flagship product, UMAX, runs on the Microsoft Dynamics 365 platform, delivering an integrated system for customer service, billing, and related back-office processes. The solution works by combining Dynamics 365 capabilities with industry-specific configurations to manage customer data, billing cycles, service requests, and utility workflows in a single, extensible platform. Itineris differentiates itself by specializing in the utilities sector and building long-term partnerships with utility clients, offering customized implementations, ongoing support, and consulting to adapt to evolving regulatory and operational needs. Its goal is to help utilities modernize their customer interactions and billing while expanding its partner network, staff, and geographic reach.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$48.3M
Headquarters
Sint-Martens-Latem, Belgium
Founded
2003

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