Senior Data Engineer (Up to 100LPA)

CodeRound AI · India

This role is for one of our client companies — a VC-backed Artificial Intelligence, Enterprise Software, Integration Platform (iPaaS), SaaS startup that has raised $6.4M USD in funding.

: Up to 100LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

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CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

(10+ )

We are seeking a Senior Data Engineer to lead the migration and modernization of legacy GIS environments into the Esri Utility Network. If you specialize in hands-on data modeling, remediation, and Python automation for utility networks, we want to hear from you.

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• Design, configure, and implement Esri Utility Network models for electric, gas, fiber, or telecommunications networks.
• Lead migration and remediation of legacy GIS data into the Esri Utility Network while maintaining connectivity, topology, and data integrity.
• Develop Python and ArcPy automation for data transformation, loading, validation, and quality assurance.
• Perform schema mapping, ETL, and data remediation activities.
• Configure Utility Network components including asset types, terminals, connectivity rules, associations, tiers, subnetworks, tracing, and topology.
• Collaborate with utility and engineering teams to translate network requirements into scalable GIS solutions.

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• 7–10+ years of experience in GIS, utility GIS, or utility data engineering.
• Hands-on experience implementing, configuring, or migrating data into the Esri Utility Network.
• Strong experience with ArcGIS Pro and ArcGIS Enterprise.
• Advanced proficiency in Python and ArcPy for GIS automation.
• Experience with ETL processes, schema mapping, data transformation, and data remediation.
• Experience working with at least one utility domain: electric, gas, fiber, or telecommunications.

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• Build the core data foundation for a high-growth AI startup.
• Take complete ownership of scalable systems without any corporate red tape.
• Accelerate your career while solving complex, high-impact pipeline challenges daily.
• Work alongside elite engineers in a collaborative, fast-paced environment.