Data Management Specialist

Data Management Specialist

Position Overview:

We are seeking a highly skilled Data Management Specialist with expertise in Data Warehousing, Big Data, and Data Governance to join our team. The ideal candidate will have over 7 years of experience in data management and possess a strong understanding of modern data practices, tools, and technologies.

Key Responsibilities

1. Data Management

• Design, implement, and maintain robust data management systems and processes.
• Ensure data accuracy, consistency, and integrity across platforms.
• Develop and enforce policies for effective data management and storage.

1. Data Warehousing

• Architect and manage scalable data warehouse solutions.
• Perform ETL (Extract, Transform, Load) processes to streamline data integration.
• Optimize data warehousing workflows to enhance performance and efficiency.

1. Big Data Solutions

• Develop and manage big data platforms for large-scale data processing.
• Work with tools like Hadoop, Spark, and similar technologies for big data analytics.
• Analyze large datasets to provide actionable insights for business strategies.

1. Data Governance

• Establish and enforce data governance policies and best practices.
• Ensure compliance with data protection regulations and industry standards.
• Monitor data usage and security to protect sensitive information.

Qualifications and Skills

• Experience: Minimum of 7+ years in Data Management, Data Warehousing, Big Data, and Data Governance.
• Technical Skills: Proficiency in SQL, data modeling, ETL tools, and big data platforms like Hadoop or Spark.
• Tools: Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, Google BigQuery).
• Governance Knowledge: Understanding of regulatory frameworks such as GDPR, HIPAA, or similar.
• Soft Skills: Strong analytical, problem-solving, and communication abilities.

Preferred Qualifications

• Certification in data management, big data analytics, or related fields.
• Hands-on experience with cloud-based data platforms (AWS, Azure, GCP).
• Proven track record of successfully implementing data governance frameworks.