Data Engineer, MS

🕒 May 12

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 44%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • 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.

📋 Description

• Design and build ETL pipelines that ingest, validate, and standardize data from multiple sources with high accuracy and performance • Develop matching logic and fuzzy matching algorithms using tools like rapidfuzz to identify and reconcile data discrepancies across datasets • Create automated report generation systems that produce Excel and PDF outputs with complex formatting, formulas, and dynamic content • Implement data transformation workflows including date normalization, field mapping, and scenario classification based on business rules • Write comprehensive unit tests using pytest and maintain code quality through version control (Git) and code review practices • Translate business requirements into technical specifications, documenting matching rules, reconciliation scenarios, and data workflows directly from stakeholder discussions • Optimize database queries and data operations using relational databases (PostgreSQL, MySQL) and SQLAlchemy ORM for efficient data access • Collaborate with cross-functional teams to troubleshoot data issues, validate outputs, and continuously improve pipeline reliability and performance

🎯 Requirements

• 5+ years of professional Python development experience • Strong hands-on expertise with pandas, openpyxl, and xlsxwriter for data manipulation and Excel generation • Proven experience building and maintaining ETL pipelines and data matching logic • Solid understanding of relational databases (PostgreSQL, MySQL) and SQL query optimization • Experience with fuzzy matching techniques and date/time normalization • Proficiency with pytest for unit testing and Git for version control • Ability to self-manage requirements, prioritize tasks, and work independently in a remote environment • Excellent communication skills with the ability to document technical solutions and business rules clearly • Nice to Have: Experience with SQLAlchemy ORM and advanced database design patterns • Familiarity with Databricks or other cloud data platforms • Knowledge of Tableau or other business intelligence tools • Experience with data quality frameworks and validation methodologies • Background in business analysis or requirements gathering • Exposure to CI/CD pipelines and automated testing frameworks

🏖️ Benefits

• Flexible remote work with a collaborative team environment • Meaningful impact on data-driven solutions that help organizations make better decisions • Professional growth opportunities to expand your skills in cloud platforms, advanced analytics, and system architecture • Competitive compensation commensurate with experience • Full-time engagement with long-term project stability • Collaborative culture where your technical expertise and insights are valued • Opportunity to mentor junior developers and shape engineering best practices