Data Engineer

Logility Solutions; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Aptean in Bengaluru, India seeks a Data Engineer to design, build, and maintain scalable enterprise data lakehouse solutions using Microsoft Fabric. The role emphasizes medallion architecture (bronze/silver/gold), Delta Lake/OneLake concepts, and AI-ready data models to support analytics, reporting, and AI-driven insights.

The ideal candidate will have strong SQL, data modeling, and modern ETL/ELT experience, plus familiarity with Git-based CI/CD and data quality checks.

Qualifications

• Proven experience designing data platforms including data warehouses and lakehouse architectures.
• Hands-on with Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks, Lakehouse).
• Able to build, deploy, and troubleshoot reliable distributed data pipelines.

Responsibilities

• Design, build, and maintain scalable enterprise data lakehouse architectures.
• Model AI/ML-ready data structures and enable AI-driven insights.
• Collaborate with stakeholders to align data engineering with analytics and reporting needs.
• Implement data quality checks and CI/CD practices for data pipelines.

Skills

Data modeling

AI/ML readiness

SQL

ETL/ELT design

Communication skills

Cross-functional collaboration

Data quality

CI/CD practices

Tools

Microsoft Fabric

Delta Lake

OneLake

Azure DevOps

GitHub Actions

Job description

Job Summary

Aptean is seeking a hands-on, results-driven Data Engineer to design, build, and maintain scalable Enterprise data lakehouse using Microsoft Fabric, following the medallion architecture. This role is key to advancing our enterprise data platform, enabling analytics, Enterprise reporting, and AI-driven insights. The ideal candidate will have strong experience in data modeling, data lakehouse technologies, and a passion for leveraging AI to optimize and enrich data processes wherever possible.

Requirements

• 2-5 years
• Knowledge, Skills, Abilities & Competencies
• Hands-on experience in designing and implementing data platforms, including data warehouses, lakehouse, and modern ETL/ELT pipelines.
• Working knowledge of Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks, Lakehouse) is strongly preferred.
• Proven ability to build, deploy, and troubleshoot highly reliable, distributed data pipelines integrating structured and unstructured data from various internal systems and external sources.
• Working knowledge of the medallion architecture (bronze/silver/gold) and Delta Lake / OneLake concepts; prior project experience implementing this pattern is highly desirable.
• Solid understanding of data lakehouse patterns and Delta Lake / OneLake concepts, with the ability to structure data models that are AI/ML-ready and support semantic modeling.
• Solid understanding of SQL, relational and dimensional data modeling, query tuning, and basic performance optimization.
• Familiarity with data quality concepts - null/duplicate/schema-drift checks, basic SCD handling, and validation rules in transformation pipelines.
• Familiarity with Git, branching strategies, and CI/CD concepts in a data engineering context (Azure DevOps or GitHub Actions).
• Strong communication and collaboration skills, with the ability to articulate complex data engineering solutions to both technical and non-technical stakeholders, and to lead cross-functional initiatives.

Shift Details

• Required to work in shift: No

Job Details

• Job Title: Data Engineer
• Job Level: B
• Location: Bengaluru, Karnataka, India
• Job Type: Full-time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.