Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Generalist mid-level data role with broad SQL/Python/ETL skills leads to high applicant density.
Core SQL, ETL, and Python skills are highly transferable across industries, so sensitivity is low.
Explicit 5+ years requirement plus mandatory SQL, Pentaho, Python and reporting skills increases strictness to high.
Design, develop, and maintain scalable ETL pipelines and data integration workflows using Pentaho or equivalent tools.
Develop, optimize, and troubleshoot complex SQL queries and automate data processing with Python in MSSQL and MySQL environments.
Create dashboards and reports with tools like Power BI or Tableau, collaborate with US-based clients and cross-functional teams, and support enterprise data solutions.
5+ years of experience in software engineering, ETL, or data engineering roles.
Strong expertise in SQL (MSSQL and MySQL) and experience with Pentaho Data Integration or equivalent ETL tools.
Proficiency in Python scripting, automation, and use of reporting tools such as Power BI, Tableau, or SSRS.
Bachelor’s degree in Computer Science, IT, Engineering, or related field.
Experienced with large-scale data processing systems and cloud-based data concepts, preferably AWS.
Strong client-facing communication skills, particularly with US-based stakeholders in global delivery settings.
Familiar with data quality governance and system architecture in fast-paced, cross-functional environments.