Key Responsibilities:

• Monitor, maintain, and optimize data pipelines to ensure smooth and efficient data flow.
• Manage large volumes of data across different platforms and databases.
• Work closely with data engineering, analytics, and development teams to troubleshoot and resolve data-related issues.
• Ensure data quality and integrity by implementing data validation checks and monitoring data performance.
• Automate repetitive tasks and improve operational efficiency.
• Ensure data security and compliance with GDPR and other regulatory requirements.
• Continuously monitor system performance and troubleshoot issues to minimize downtime.
• Assist with data migrations, database optimization, and disaster recovery planning.
• Collaborate with cross-functional teams to improve data processes and workflows.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• Experience working with databases (e.g., SQL, NoSQL) and data platforms.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience in building, monitoring, and maintaining ETL (Extract, Transform, Load) pipelines.
• Proficiency in programming languages such as Python, R, or Java for data operations.
• Knowledge of data management tools and platforms.
• Strong problem-solving skills and attention to detail.
• Ability to work effectively in a fast-paced environment and manage multiple tasks simultaneously.

Preferred Skills:

• Experience with data warehouse technologies such as Snowflake or Redshift.
• Familiarity with DevOps practices and automation tools (e.g., Ansible, Docker, Kubernetes).
• Knowledge of big data technologies (e.g., Hadoop, Spark) is an advantage.
• Experience in data security and compliance, particularly with GDPR.

Salary and Benefits:

• Health insurance and wellness benefits.
• Paid vacation and public holidays.
• Professional development opportunities and access to training resources.
• Collaborative and innovative team environment with opportunities for growth.
• Flexible working hours and remote work options.
• Competitive salary based on experience.