Opportunity Description
Responsibilities
- Design, develop, and maintain scalable ETL pipelines and data workflows using Python, PySpark, and cloud services such as Azure, AWS, and Cloudera CDP.
- Collaborate with stakeholders, data scientists, and cross‑functional teams to ensure data quality, governance, and performance.
- Create data models and dashboards utilizing BI tools like Power BI, Qlik Sense, and Informatica.
- Implement data integration and transformation processes, optimizing storage solutions and ensuring reliable data ingestion and delivery across the platform.
- Support data analytics initiatives and integrate machine‑learning workflows where applicable.
- Strong experience with Python, SQL, and PySpark.
- Proficiency in big‑data technologies such as Hadoop, Spark, Cloudera, and Apache NiFi.
- Hands‑on experience with cloud platforms (Azure, AWS, GCP) and related services.
- Knowle...