Data Engineering Associate

Jobtailor; Ernakulam; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Jobtailor is seeking a data engineer to design, develop, and maintain end-to-end data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric. You will ingest diverse data sources and implement Medallion Architecture across Bronze, Silver, and Gold layers to enable scalable analytics.

Responsibilities include building governed analytical models for reporting and AI initiatives, ensuring data quality, and aligning with security and regulatory standards.

Qualifications

• 2–3 years of experience in Data Engineering or Enterprise Analytics.
• Hands-on experience with cloud-scale data solutions on Microsoft Azure.
• Strong SQL development and data modeling skills.
• Proficiency in Python or similar analytics tools.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines on Azure, Databricks, and Fabric.
• Implement Medallion Architecture with Bronze, Silver, and Gold layers.
• Build governed analytical data models for reporting and AI initiatives.
• Ensure data quality, validation, and reconciliation across pipelines.
• Adhere to security, privacy, and regulatory standards in data handling.

Skills

Data Engineering

SQL development

Python

Analytical thinking

Problem-solving

Education

Bachelor’s Degree in Computer Science

Tools

Azure Data Factory

Databricks

Microsoft Fabric

Job description

• Design, develop, and maintain end-to-end data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric
• Ingest data from diverse structured and unstructured sources
• Implement and manage Medallion Architecture with Bronze, Silver, and Gold layers
• Develop governed analytical data models for reporting, advanced analytics, and downstream AI initiatives
• Adhere to CSI Analytics engineering standards, coding best practices, and documentation guidelines
• Optimize data pipelines for performance, scalability, and cost efficiency in Azure and Fabric environments
• Implement data quality checks, validation rules, and reconciliation processes
• Ensure data accuracy, completeness, and consistency
• Comply with EY data security, privacy, and regulatory standards, including access controls and audit requirements
• Independently solve complex data challenges and proactively propose scalable, future-ready solutions
• Support enterprise analytics, reporting, and AI-driven use cases

Requirements

• Bachelor’s degree in computer science or a related discipline
• Minimum 2–3 years of experience working in Data Engineering, Data Platform, or Enterprise Analytics roles
• Strong hands-on experience building cloud-scale data solutions on Microsoft Azure
• Strong expertise in Azure Data Factory, Databricks, and Microsoft Fabric
• End-to-end data engineering skills covering ingestion, transformation, curation, and analytical modelling
• Knowledge of Medallion Architecture-based data platforms
• Advanced SQL and data modeling skills; extremely proficient in SQL development
• Proficiency in data cleansing and formatting using SQL, Python, or other analytical tools
• Strong analytical, troubleshooting, and problem-solving skills
• Good communication and stakeholder collaboration skills
• Ability to manage ambiguity, shifting priorities, and complex data landscapes
• Teamwork, integrity, empathy and care, ownership, accountability, analytical thinking, coherent communication, time management, organization, and attention to detail

Core Competencies

Demonstrates expertise in designing and developing end-to-end data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric, while ensuring data quality and compliance with security standards. Proficient in advanced SQL, data modeling, and implementing Medallion Architecture for scalable analytics solutions.

Highest-signal resume keywords

• Azure Data Factory
• Databricks
• Microsoft Fabric
• Advanced SQL
• Data Engineering

Hard Skills

• Data Pipeline Development
• Data Ingestion
• Data Transformation
• Data Curation
• Analytical Modeling
• Data Quality Checks
• Data Validation
• Data Cleansing
• Python
• SQL Development

Soft Skills

• Analytical Thinking
• Problem-Solving
• Communication
• Teamwork
• Time Management

Certifications & Qualifications

• Bachelor’s Degree in Computer Science

Industry Keywords

• Medallion Architecture
• Enterprise Analytics
• Data Security
• Privacy Standards
• Regulatory Compliance