<p><p><b>Job Summary :</b><br/><br/></p><p>We are seeking a highly motivated Data Engineer who can seamlessly balance hands-on engineering with customer-facing responsibilities.
This role is ideal for someone who thrives in solving complex data integration challenges, collaborating across teams, and driving data solutions from design to production with measurable Responsibilities :</b></p><p><br/></p>- Develop Python-based data solutions to address customer data integration challenges.<br/><br/></p><p>- Build platform features that improve efficiency, quality, and scalability of deliverables.<br/><br/></p><p>- Collaborate with project management and sales teams to solve clients business and technical problems.<br/><br/></p><p>- Perform data appends, extracts, and analysis to deliver curated datasets to clients.<br/><br/></p><p>- Gain expertise across diverse data landscapes including consumer, business, property, and digital data.<br/><br/></p><p>- Work on advanced projects such as entity detection, record linking, and NLP (Natural Language Processing).<br/><br/></p><p>- Transform one-time solutions into production-ready, reusable Requirements and Qualifications :</b></p><p><br/></p>- Bachelors degree in Computer Science, Data Science, or related field (Masters preferred), or equivalent professional experience.<br/><br/></p><p>- 3+ years of relevant experience in Python programming (strong Pandas expertise required).<br/><br/></p><p>- Hands-on experience with common data formats: CSV, JSON, Parquet, Avro, etc.<br/><br/></p><p>- Proficiency in data cleaning, structuring, and ETL pipelines.<br/><br/></p><p>- Strong understanding of APIs (REST and SOAP), HTTP protocols, API security, and best practices.<br/><br/></p><p>- Solid SQL experience for querying and managing data.<br/><br/></p><p>- Proficiency with version control (Git) and workflow orchestration tools (Airflow).<br/><br/></p><p>- Exposure to or interest in machine learning and data modeling.</p><br/></p> (ref:hirist.tech)