Data Engineer

Role Description

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, data integration solutions, and enterprise data platforms to support business intelligence, analytics, reporting, and AI/ML initiatives. The role works closely with business stakeholders, solution architects, data architects, and application teams to ensure high-quality, reliable, and secure data is available across the organization.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines for structured and unstructured data sources.
• Build and support data integration between enterprise systems, including SAP, Salesforce, CRM platforms, and cloud-based applications.
• Develop and optimize ETL/ELT processes to improve data quality, performance, and reliability.
• Implement data models and transformation logic in alignment with enterprise data architecture standards.
• Ensure data integrity, accuracy, and consistency across source and target systems.
• Collaborate with Data Architects, Business Analysts, and Solution Architects in designing scalable data solutions.
• Support analytics, reporting, dashboards, and AI/ML initiatives by providing trusted and governed datasets.
• Monitor and troubleshoot data pipelines, integration jobs, and platform performance issues.
• Implement data governance, security, privacy, and compliance requirements within data solutions.
• Maintain technical documentation, data dictionaries, and data lineage artifacts.
• Identify opportunities for automation and continuous improvement in data engineering processes.

Profile

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Data Science, or related discipline.
• Minimum 3-8 years of experience in data engineering, data integration, or related fields.
• Strong understanding of data warehousing, data lakes, and modern data architecture principles.
• Experience with ETL/ELT tools and data integration platforms.
• Proficiency in SQL and experience with Python, Scala, or similar programming languages.
• Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud.
• Experience integrating enterprise applications such as SAP, Salesforce, CRM, ERP, or similar business systems.
• Knowledge of data modeling concepts, including dimensional and relational modeling.
• Familiarity with data governance, data quality, and information security practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management capabilities.
• Preferred Qualifications
• Experience with SAP data structures and Salesforce data models.
• Experience in AWS services such as S3, Glue, Redshift, Lambda, or equivalent cloud technologies.
• Exposure to AI/ML data preparation and feature engineering.
• Knowledge of master data management (MDM) and enterprise data governance.
• Professional certifications in cloud, data engineering, or analytics technologies would be an advantage.

Key Competencies

• Data Integration & Engineering
• Data Modeling & Architecture
• ETL/ELT Development
• SQL & Data Analytics
• SAP & SFDC Data Management
• Cloud Data Platforms
• Problem Solving & Critical Thinking
• Stakeholder Engagement
• Data Governance & Security