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 modern 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.

Contribute to enterprise-level solution design, platform modernization, and innovation initiatives.

Participate in architecture reviews, code reviews, and technical mentoring.

Required Skills & Experience

5+ years of experience in Data Engineering or related enterprise data platform roles.

Solid hands-on experience in building enterprise-scale data pipelines and d

📌 Data Engineer (Pune)
🏢 Ascentt
📍 Pune