Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 738,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Learn more about how we are measuring value in all directions with Accenture's 360 degree Value Integrated Reporting. Position: Data Engineer with Data Governance Experience Responsibilities: Data Architecture and Modeling: Design and implement scalable data architecture to support the organization's data needs. Develop and maintain data models for efficient storage, retrieval, and analysis. ETL Development: Create and optimize Extract, Transform, Load (ETL) processes to ensure efficient data movement and integration. Collaborate with cross-functional teams to gather and understand data requirements. Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, integrity, and compliance with regulatory requirements. Define and implement data standards, naming conventions, and data lineage documentation. Data Security: Implement and maintain robust data security measures to protect sensitive information. Collaborate with the IT security team to ensure compliance with data protection regulations. Data Quality Assurance: Develop and execute data quality checks and validation processes to identify and resolve data discrepancies. Implement monitoring solutions to proactively address data quality issues. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Communicate effectively with non-technical stakeholders, translating complex technical concepts into understandable terms. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on data governance. Strong proficiency in SQL, Python, or other relevant programming languages. In-depth knowledge of data modeling, ETL processes, and database management systems. Familiarity with data governance tools and frameworks. Excellent problem-solving and analytical skills. Effective communication and collaboration skills.