
Senior Data Specialist
2 days ago
We are seeking a skilled and motivated data engineer to design, develop, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
This is a unique opportunity for a talented individual to join our team and contribute to the development of cutting-edge data solutions.
The ideal candidate will have a strong background in data engineering, programming skills in languages such as Python and SQL, and experience with big data technologies like PySpark and Google Cloud Platform.
The selected candidate will work closely with cross-functional teams to understand and fulfill data requirements, ensuring data quality, integrity, and governance across all data pipelines.
- Data Engineering Responsibilities:
- Design and implement scalable data pipelines for processing structured and unstructured data.
- Build and maintain ETL/ELT workflows for data ingestion from diverse sources including APIs, databases, files, and cloud platforms.
- Ensure data quality, integrity, and governance across all data pipelines.
- Programming & Data Engineering:
- Python, PySpark, SQL
- CI/CD practices
- Streaming & Orchestration:
- Kafka
- GCP Composer / Apache Airflow
- Cloud Tools:
- Google Cloud Platform (Dataproc, BigQuery, Looker)
- Data Architecture:
- Data Warehousing
- Data Modeling
We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.
Why Join Our Team?This role offers a unique opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the development of innovative data solutions.
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