Data & AI Native Engineer — Cloud Analytics Lead
Tech Mahindra
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Benefits offered by this job
Job summary
Tech Mahindra in the United States (St. Louis) is seeking a senior data engineering professional with 8+ years in data and software engineering.
The role requires 3+ years leading data initiatives and building enterprise-scale platforms, pipelines, and cloud-native analytics, with expertise in Spark, PySpark, Databricks, and AI-assisted development tools. Responsibilities include developing ETL/ELT frameworks, enabling scalable data ingestion, processing, storage, and analytics, and leveraging
Qualifications
- Bachelor’s degree or higher is required.
- 8+ years of data engineering and software engineering experience.
- 3+ years leading complex data engineering initiatives or teams.
- Experience building enterprise-scale data platforms and pipelines.
- Experience delivering cloud-native analytics and AI solutions.
- Develop ETL/ELT frameworks for ingesting, transforming, and publishing data.
- Implement high-volume distributed processing using Spark and PySpark.
- Leverage AI-assisted development tools to accelerate productivity.
Skills
Education
Tools
Job description
Tech Mahindra in the United States (St. Louis) is seeking a senior data engineering professional with 8+ years in data and software engineering.
The role requires 3+ years leading data initiatives and building enterprise-scale platforms, pipelines, and cloud-native analytics, with expertise in Spark, PySpark, Databricks, and AI-assisted development tools. Responsibilities include developing ETL/ELT frameworks, enabling scalable data ingestion, processing, storage, and analytics, and leveraging
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