Senior Data Engineer/Consultant at Viisaus Technology Ltd

As Senior Data Engineer/Consultant your responsibilities will be to:

Data Pipeline Development

• Design and implement scalable and reliable ETL (Extract, Transform, Load) processes.
• Automate data pipelines tensure seamless integration of various data sources.

Database Management

• Develop and maintain optimized databases and data warehouses.
• Ensure data security, compliance, and backup protocols are in place.

Data Quality Assurance

• Establish robust mechanisms for data validation and cleansing.
• Conduct regular audits tmaintain high data quality and integrity.

Collaboration and Support

• Work closely with data analysts, product managers, and software developers.
• Provide technical support for data-related queries and challenges.

Performance Optimization

• Monitor and improve data infrastructure performance.
• Troubleshoot issues related tdata storage, processing, and retrieval.

Documentation and Reporting

• Have the capacity tidentify, isolate and list out relevant insights from large data sets
• Be conversant with the latest artificial intelligence tools and trends with regards tdata mining (Data Science)
• Document data workflows, architecture, and processes.
• Generate reports and insights taid strategic decision-making.

Recruitment and Team Building

• Recruit, onboard, and manage a team of data analysts and analytics professionals.
• Define roles and responsibilities for the analytics team tensure project success.
• Provide mentorship, training, and performance feedback tteam members.

You’d be a good fit if you:

• Possess a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum of 8 years in data engineering, Data Analysis or related roles.

Technical Skills:

• Proficiency in SQL and database systems (e.g., PostgreSQL, MySQL, MongoDB).
• Strong experience with Microsoft Power Platform (e.g PowerBI, Power Apps, Power Pages, Fabric)
• Experience with data pipeline tools (e.g., Apache Airflow, AWS Glue, or similar).
• Strong programming skills in Python.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience with big data tools (e.g., Hadoop, Spark) is a plus.

Soft Skills:

• Strong problem-solving abilities.
• Excellent teamwork skills.
• Detail-oriented with a focus on data accuracy and efficiency.
• Experience working with executive blue chip clients - Excellent
• verbal/written communication, and appearance is a requirement for this role.

Preferred Skills

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning frameworks for predictive analytics.
• Familiarity with government or social program data systems is a plus.