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Lead Data Solutions Engineer

Lead Data Solutions Engineer

Conntog

6 - 11 years

25 - 30 Lacs

Hyderabad

Posted:2 months ago| Platform:

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Skills Required

PySpark Palantir Foundry Python outage scheduling data data pipelines SLA governance exception handling AWS Glue conflict-resolution logic utilities domain workflow automation stakeholder comms Databricks large-scale ETL

Work Mode

Hybrid

Job Type

Full Time

Job Description

About We are hiring a Lead Data Solutions Engineer with expertise in PySpark, Python, and preferably Palantir Foundry. You will focus on transforming complex operational data into clear customer communications for Planned Power Outages (PPO) within the energy sector. Role & responsibilities Build, enhance, and manage scalable data pipelines using PySpark and Python to process dynamic operational data. Interpret and consolidate backend system changes into single-source customer notifications. Leverage Foundry or equivalent platforms to build dynamic data models and operational views. Act as a problem owner for outage communication workflows and edge cases. Collaborate with operations and communication stakeholders to ensure consistent message delivery. Implement logic and validation layers to filter out inconsistencies in notifications. Continuously optimize data accuracy and message clarity. Preferred candidate profile Ideal Profile 5+ years of experience in data engineering/data solutions. Strong command of PySpark, Python, and large-scale data processing. Experience in dynamic, evolving environments with frequent changes. Strong communication and collaboration skills. Ability to simplify uncertain data pipelines into actionable formats. Nice to Have Experience with Palantir Foundry, Databricks, or AWS Glue. Exposure to utility, energy, or infrastructure domains. Familiarity with customer communication systems, SLA governance, or outage scheduling.

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Lead Data Solutions Engineer