Lead Data Engineer
Aptean Bengaluru, Karnataka, India
Software Development · 1,001-5,000 employees
About the role
Design, build, and maintain a scalable enterprise data lakehouse using Microsoft Fabric and medallion architecture. Lead cross-functional initiatives to enable analytics, enterprise reporting, and AI-driven insights.
What they look for
Requirements
Requires 7-10 years of experience in data engineering with deep expertise in large-scale data platforms and modern ETL/ELT pipelines. Candidates must have strong technical foundations in data modeling, database architecture, and data governance practices.
Full description
Overview
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.
Job Description:
Work Experience
7-10 Year’s
Knowledge, Skills, Abilities & Competencies
- Deep expertise in data engineering with hands-on experience in designing and implementing large-scale data platforms, including data warehouses, lakehouse, and modern ETL/ELT pipelines.
- Proven ability to build, deploy, and troubleshoot highly reliable, distributed data pipelines integrating structured and unstructured data from various internal systems and external sources.
- Strong technical foundation in data modeling, database architecture, and data transformation techniques using medallion architecture (bronze/silver/gold layers) within Microsoft Fabric or similar platforms.
- 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.
- Experience implementing data quality frameworks including checks for nulls, duplicates, schema drift, outliers, and slowly changing dimensions (SCD types).
- Familiarity with data governance, including schema versioning, data lineage, access controls (RBAC), and audit logging to ensure secure and compliant data practices.
- Working knowledge of data visualization tools such as Power BI with the ability to support and optimize semantic layers and KPI definitions.
- 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.
- Experience with DevOps practices, including version control, CI/CD pipelines, environment management, and performance monitoring in a data engineering context.
Shift details:
Required to work in shift: YES
If Yes Shift Timing: 1pm to 10pm.
About Aptean
At Aptean, our mission is to solve tomorrow’s unique challenges today with unrivaled, purpose-built software and superior customer experiences from people who care. Aptean is a global provider of mission-critical, industry-specific software solutions. Aptean’ s purpose-built ERP and supply chain management solutions help address the unique challenges facing process and discrete manufacturers, distributors and other ocused organizations. Aptean’ s compliance solutions are built for companies serving specific markets such as finance, healthcare, biotech and pharmaceuticals, over 10,000 highly specialized organizations in more than 20 industries and 80 countries rely on Aptean to streamline their everyday operations.
“At Aptean, our global and diverse employee base is our greatest asset. It is through embracing and understanding our differences that we are able to harness our individual power to maximize the success of our customers, our employees and our company.” – TVN Reddy
Aptean pledges to promote a company culture where diversity, equity and inclusion are central. We are committed to applying this principle as we interact with our customers, build our teams, cultivate our leaders and shape a company in which any employee can succeed, regardless of race, color, sex, national origin, sexuality and gender identity, religion, disability or age. Celebrating our diverse experiences, opinions and beliefs allows us to embrace what makes us unique and to use this as an asset in bringing innovative solutions to our customer base.
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