Senior/Lead Data Engineer (ETL/Python/PowerBI)

QualificationsTechnical 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. General requirements: English communication equivalent to Upper-Intermediate level Good at 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.