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SparkCognition

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3.3

based on 10 Reviews

18 SparkCognition Jobs

Lead Data Engineer

SparkCognition

3.3

based on 10 Reviews

5-8 years

Bangalore / Bengaluru

1 vacancy

Lead Data Engineer

SparkCognition

posted 25d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Computer Networking Automation Testing Machine Learning Clinical Data Management

+ 4 more

Job Description

Avathon s Renewable Suite is the worlds leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing renewable energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our platform works across multiple asset types such as wind, solar, storage and DC coupled assets to offer insights to our customers across their fleets. As a Lead Data Engineer you will be working closely with team members across domains with deep technical skills and passion for clean energy.

Join us in:

Bringing large volumes of data from wind, solar, storage sites to cloud
Building robust ETL pipelines and automating data workflows
Work on engineering projects to design, construct, install, test and maintain highly scalable data management systems
Lead a team of talented Data Engineers and mentor the team as part of people responsibility

You ll have:

7+ years of hands-on experience with Python, including at least 2 years using Pandas for data processing and analysis
At least 2 years of experience in leading, mentoring, and managing a team of software engineers
Fundamental knowledge of networking concepts such as VPNs, firewalls, and secure remote access
Proficiency in PowerShell or shell scripting for automation and administrative tasks
Strong problem-solving skills with the ability to troubleshoot system, network, and data-related issues

It would be great if you had:

Experience in renewable energy or IoT time series data
Exposure to industrial data platforms like Ignition, Kepware, or OSIsoft/AVEVA PI
Extensive experience with cloud-native tools, particularly AWS or GCP

Employment Type: Full Time, Permanent

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