We are looking for a hands-on Data Engineer with strong Python and SQL skills to build scalable data pipelines, ETL/ELT processes, integrations, and data solutions.
Key Responsibilities
- Design and develop scalable data ingestion, ETL/ELT and transformation pipelines.
- Develop production-quality solutions using Python and advanced SQL.
- Integrate data from databases, REST APIs, files, and enterprise applications.
- Work with relational and NoSQL databases.
- Implement data validation, cleansing, reconciliation, deduplication and quality checks.
- Develop and consume REST APIs for data integration.
- Optimize queries and pipelines for performance and scalability.
- Implement logging, error handling, retry and monitoring mechanisms.
- Develop unit, integration and data-quality tests.
- Work with Git, CI/CD, Linux and Docker.
- Collaborate with architects,
developers and AI/ML teams.
Mandatory Skills
✅ Python – Strong
✅ SQL – Strong/Advanced
✅ ETL/ELT & Data Pipelines
✅ Pandas / Num Py / PyArrow
✅ PostgreSQL / SQL Server / MySQL
✅ MongoDB or NoSQL
✅ REST APIs & JSON
✅ Data Modeling & Data Quality
✅ Git / Git Hub / Git Lab
✅ PyTest / Unit Testing
✅ Linux & Docker
✅ CI/CD
Good to Have
- Elasticsearch / Open Search / Apache Solr
- Parquet and other data formats
- AI/GenAI exposure
- Data lineage and metadata concepts
Candidate Profile
- Strong analytical and problem-solving skills
- Good software engineering practices
- Ability to independently troubleshoot issues
- Good communication and collaboration skills
- Bachelor's/Master's degree in CS, IT, Engineering, Data Science or related field
Interested candidates can share their updated resume:
📌 Data Engineer (India)
🏢 Eximietas Design
📍 India
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