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