Lead Data Engineer

Providing analytical, operational, and strategic support to client
Analyze the client's business needs and provide recommendations
Map the business requirements to the application
Design of application database:
structure, content, and processes of data population;
Validate the solution with the end-users;
Design the reports and extraction:
SQL statement, layout formatting, and report publication;
Apply correspondent methodology and tools, the elaboration and implementation of consistent work plans, project and program documents, and achievement of results;
Ensure proper reporting on implementation and achievement of outputs, as well as contribute to reporting on progress towards outcomes and impact.
Requirements
Requirements
10+ years experience as Data Engineer
Proven experience as a data engineer, with a strong focus on ETL processes and data pipeline development.
Proficient in SQL and hands-on experience with relational databases such as MySQL or PostgreSQL.
Strong programming skills in Python and experience with Pandas and PySpark.
In-depth knowledge of capital markets, financial instruments, and investment strategies.
Familiarity with data warehousing concepts and methodologies.
Experience working with cloud platforms such as AWS, GCP, or Azure.
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.
Ability to work in a fast-paced and dynamic environment.