Full-Time Data Engineering Lead

• Providing technical leadership to software design and project members in software development projects and resolves technical issues
• Possessing technical expertise and uses it to provide consultation; mentors others and be able to communicate effectively in both technical and business languages
• Understanding client's requirements and challenges, keys to success and takes ownership of the technical aspect of client's success plan
• Designing and customizing reports, modifying databases and perform tests based on clients request
• Monitoring the data quality of data pipelines, provide data management support to clients
• Liaise with developers to improve applications and establish best practices
• Responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting
• Developing and implementing data models, data marts for enterprise data lake/data warehouse and integration development process.
• Building new Data Analytics solutions to provide insights for decision-making and performance improvements
• Writing effective and scalable ETL processes in building the business’ data collection systems and processing pipelines.
• Open to taking onsite assignments in the US

General requirements:

• Excellent spoken and written English communication
• Good for logical thinking and problem solving.
• Ability to self-learn and adapt to new technologies quickly.
• Digital Thinker, Product Mindset, Can-do attitude, and Adaptable.
• Ability to handle multiple tasks, communicate effectively with team members and management.

Technical requirements:

• Strong experience in Data Analysis, Data Engineering, Data Warehousing and Reporting services
• Good knowledge in data transformation (ETL) and processing solutions
• Proficiency in writing complex SQL queries across multiple databases (e.g., Oracle, SQL Server) as well as Python scripts for automation tasks
• Experience with data warehousing and cloud-based data solutions
• Experience working with Power BI reporting tools for business intelligence analytics
• Experience building new Data Analytics solutions to enhance data-driven decision-making
• Experience in database performance monitoring and tuning
• Knowledge of data modeling and data relationship analysis for the large scale of business applications
• Experience on data streaming and replication data
• Good data analytics  and visualization skills
• Familiarity working with AWS cloud environments
• Is knowledgeable about project management and able to collaborate with clients and work with offshore team as a project manager when needed

Nice to have:

• Understanding of software development methodologies, such as Agile or Scrum.
• Knowledge of database security best practices and data encryption.
• Knowledge of data warehousing concepts and tools like Amazon Redshift or Google BigQuery.
• Experience with BI (Business Intelligence) tools like Tableau, Power BI, or Looker.
• Knowledge of cloud-based database platforms like AWS RDS, Azure SQL Database, or Google Cloud SQL.