Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.
Data Engineer – Enterprise Data Platforms & AI-Driven Engineering
We are looking for a highly skilled and passionate Data Engineer to join our high-performance engineering team. The ideal candidate should have strong experience in designing and building scalable enterprise-grade data platforms, modern data pipelines, and cloud-based analytics architectures. This role requires both strong technical expertise and the ability to collaborate with business and technical stakeholders across the organization.
Key Responsibilities
Design, develop, optimize, and maintain scalable data pipelines for large-scale enterprise data processing.
Build robust ETL/ELT workflows using up-to-date orchestration frameworks and cloud-native technologies.
Develop and manage enterprise data architectures using platforms such as Databricks and Snowflake.
Work with structured, semi-structured, and unstructured data across multiple enterprise systems.
Architect high-performance data engineering solutions capable of processing large volumes of data efficiently.
Collaborate with architects, business stakeholders, analytics teams, and product teams to understand data requirements and translate them into scalable technical solutions.
Lead technical discussions and provide guidance to junior and mid-level engineers.
Implement data quality, governance, monitoring, security, and observability best practices.
Optimize data processing performance, storage strategies, and cost efficiency in cloud environments.
Use AI-assisted development tools such as GitHub Copilot effectively to improve engineering productivity and code quality
📌 Data Engineer (Indore)
🏢 Ascentt
📍 Indore
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