
51 - 200 employees
Founded 2019
đ Cybersecurity
âïž SaaS
AI âą Cybersecurity âą SaaS
Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.
đ May 12
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51 - 200 employees
Founded 2019
đ Cybersecurity
âïž SaaS
AI âą Cybersecurity âą SaaS
Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.
âą Design and build ETL pipelines that ingest, validate, and standardize data from multiple sources with high accuracy and performance âą Develop matching logic and fuzzy matching algorithms using tools like rapidfuzz to identify and reconcile data discrepancies across datasets âą Create automated report generation systems that produce Excel and PDF outputs with complex formatting, formulas, and dynamic content âą Implement data transformation workflows including date normalization, field mapping, and scenario classification based on business rules âą Write comprehensive unit tests using pytest and maintain code quality through version control (Git) and code review practices âą Translate business requirements into technical specifications, documenting matching rules, reconciliation scenarios, and data workflows directly from stakeholder discussions âą Optimize database queries and data operations using relational databases (PostgreSQL, MySQL) and SQLAlchemy ORM for efficient data access âą Collaborate with cross-functional teams to troubleshoot data issues, validate outputs, and continuously improve pipeline reliability and performance
âą 5+ years of professional Python development experience âą Strong hands-on expertise with pandas, openpyxl, and xlsxwriter for data manipulation and Excel generation âą Proven experience building and maintaining ETL pipelines and data matching logic âą Solid understanding of relational databases (PostgreSQL, MySQL) and SQL query optimization âą Experience with fuzzy matching techniques and date/time normalization âą Proficiency with pytest for unit testing and Git for version control âą Ability to self-manage requirements, prioritize tasks, and work independently in a remote environment âą Excellent communication skills with the ability to document technical solutions and business rules clearly âą Nice to Have: Experience with SQLAlchemy ORM and advanced database design patterns âą Familiarity with Databricks or other cloud data platforms âą Knowledge of Tableau or other business intelligence tools âą Experience with data quality frameworks and validation methodologies âą Background in business analysis or requirements gathering âą Exposure to CI/CD pipelines and automated testing frameworks
âą Flexible remote work with a collaborative team environment âą Meaningful impact on data-driven solutions that help organizations make better decisions âą Professional growth opportunities to expand your skills in cloud platforms, advanced analytics, and system architecture âą Competitive compensation commensurate with experience âą Full-time engagement with long-term project stability âą Collaborative culture where your technical expertise and insights are valued âą Opportunity to mentor junior developers and shape engineering best practices
Apply Nowđ May 12
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