Description
The Data Analyst will design, develop, and maintain scalable ETL/ELT pipelines and batch and real-time data processing solutions using SQL, Python, Spark, and related technologies. The role focuses on data quality, testing, monitoring, observability, platform maintenance, and collaboration with data and business stakeholders, while applying engineering best practices such as version control, CI/CD, and DataOps. Candidates need hands-on experience in data engineering, data integration, and large-scale data processing, along with strong SQL and Python skills and familiarity with modern data platforms.
