Enterprise Data Consultant

Join DataSphere Solutions as an Enterprise Data Consultant in Bangka Belitung and drive data-driven transformation for leading enterprises. You’ll design scalable data architectures, optimize analytics pipelines, and empower businesses with actionable insights. With DataSphere Solutions, a leading data consultancy in Indonesia, you'll work on high-impact projects for clients across various industries, including finance, healthcare, and retail.

As an Enterprise Data Consultant, your daily tasks will include collaborating with cross-functional teams to understand business needs, designing data models, and implementing data warehouses using tools like Microsoft Azure Data Lake, Snowflake, and Google BigQuery. You'll also leverage your expertise in data visualization tools such as Tableau and Power BI to create dashboards that drive decision-making.

📋 Tanggung Jawab Pekerjaan

• Design and implement scalable data architectures to support enterprise-wide data needs.
• Optimize analytics pipelines to enhance data processing efficiency and reduce latency.
• Develop and maintain data models and schemas using industry-standard tools and best practices.
• Create and optimize data warehouses and data lakes using Microsoft Azure Data Lake, Snowflake, and Google BigQuery.
• Design and implement data visualization solutions using Tableau and Power BI to provide actionable insights.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Provide data consulting services to help clients leverage their data for competitive advantage.
• Stay updated with the latest trends and technologies in data management and analytics.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5-7 years of experience in data consulting, data architecture, or a similar role.
• Certifications in data management, such as Microsoft Certified: Azure Data Engineer Associate or Google Professional Data Engineer.
• Proficiency in data modeling tools like Microsoft Power BI, Tableau, and SQL Server Integration Services (SSIS).
• Experience with cloud-based data platforms such as Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work independently and manage multiple projects simultaneously.

🛠️ Keahlian

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