AI Lead Data Engineer
Generac (company site, opens in a new tab)10+ yrsPuneOn-siteDirect career pageEst. 30–45 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable, cross-domain data pipelines and systems handling ambiguous and evolving requirements.
- Own full components end-to-end, including design, deployment, operations, and SLA tracking, ensuring high scalability and reliability.
- Drive technical proposals, mentor engineers, and collaborate across teams to influence enterprise-wide architecture and engineering standards.
Minimum Requirements
- 10+ years of experience in data/software engineering with a track record of delivering complex, scalable, cross-domain projects.
- Proven expertise in scalable data pipelines and architecture using Apache Spark, Kafka, Airflow, and cloud data platforms (AWS, GCP, or Azure).
- At least 5 years in a technical leadership role involving data architecture, database design, and engineering methodologies.
- Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in integrating and solving problems across data engineering, machine learning, IoT, and cloud infrastructure domains with a strategic perspective.
- Skilled in mentoring and leading engineers across teams, facilitating technical discussions and driving consensus.
- Proven ability to drive large-scale technical initiatives with measurable business impact and continuously improve engineering processes and delivery quality.