Scan your resume against ATS criteria for this Data Engineer (Mid Level)-Orbit role at Irth Solutions.
Irth Solutions is a leading provider of cloud-based SaaS software for damage prevention, asset integrity, stakeholder engagement and land management, helping energy, utility, telecom, and infrastructure companies protect their critical network infrastructure. With nearly three decades of industry experience, Irth serves customers across North America and continues to expand its platform with new data-driven and AI-powered capabilities.
Data Engineer – Insights (AI/ML)
Location: Remote – India
Department: Insights (AI/ML)
Reports to: Data Platform & Analytics Manager
About the Role
Irth is building a modern, multi-cloud, enterprise-grade data estate—a unified
that centralizes data across Irth’s products and cloud environments, including
.
As a
, you will play a hands-on implementation role, working closely with the
to bring the enterprise data platform vision to life.
You will design and develop data pipelines based on established architectural patterns, implement data quality and governance controls, build
solutions, and help operationalize the new data platform.
This is an excellent opportunity for a
looking to deepen their expertise in Databricks, Apache Spark, cloud data engineering, and modern lakehouse architecture while working in a multi-cloud enterprise environment.
Key Responsibilities
, following architecture and engineering patterns established by the Senior Data Architect.
using:
medallion architecture patterns for ingestion, transformation, cleansing, and standardization.
and Slowly Changing Dimensions (
).
storage structures, tables, schemas, partitions, and optimization routines.
Apply Delta Lake performance and maintenance practices, including:
Assist with implementation of metadata, cataloging, and lineage standards using
.
Support integration between cloud storage platforms and Databricks, including:
Assist with implementation of scalable storage and processing patterns defined by the Data Architect.
in accordance with enterprise governance standards.
defined by the enterprise governance model.
.
Build, schedule, monitor, and maintain production workflows using:
Contribute to
for data-engineering code, including source control, automated testing, deployment, and environment management.
to translate architecture designs and technical standards into actionable implementation tasks.
Participate in architecture reviews, technical design discussions, coding reviews, and engineering standards meetings.
Collaborate with Data Scientists, ML Engineers, Analysts, Product teams, and other engineering stakeholders to understand data requirements.
Document:
Maintain clear and accurate technical documentation to support platform adoption, troubleshooting, and future development.
Provide implementation feedback to the Data Architect and identify opportunities to improve platform patterns, tooling, and developer experience.
Role Scope
This is primarily an
. The Senior Data Architect will establish the overall platform architecture, standards, and design patterns; the Data Engineer will translate those patterns into reliable, production-ready pipelines and platform capabilities.
The role provides an opportunity to gain deeper hands-on experience with
while contributing to a strategic enterprise data platform.
Qualifications
Required Qualifications
in Data Engineering, ETL development, or cloud data platform engineering.
, or other distributed data-processing technologies.
, including structured data transformation, joins, aggregations, and performance-aware query development.
; AWS and/or GCP experience is also valuable.
Understanding of core data-engineering concepts, including:
Basic understanding of data-security practices, including:
Preferred Qualifications
.
Experience with metadata, cataloging, and governance platforms such as:
Experience with workflow orchestration and scheduling technologies, such as:
Experience with
.
Knowledge or experience in or more of the following areas:
Relevant cloud or Databricks certifications, such as:
Nice-to-Have Qualifications
concepts, including inspection data, risk scoring, corrosion tracking, defect management, and maintenance data as applied to pipeline or utility operations.
into enterprise data platforms.
Experience working with:
Familiarity with
associated with pipeline, utility, or asset-integrity data.
Success Metrics
Success in this role will be measured by the engineer’s ability to reliably implement and operationalize the data-platform patterns established by the Data Architect
of ingestion, transformation, data-quality, and governance patterns defined by the Data Architect.
data flows.
.
.
.
.
coverage
We Offer
coverage
How to apply for Data Engineer (Mid Level)-Orbit at Irth Solutions?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
3+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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