Required Skills:
- Previous experience as a data engineer or in a similar role.
- The candidate need to be highly skilled in Python, Pyspark/spark, SQL, Airflow, Databricks and Azure Cloud (VMs, K8S, Datalake Storage).
- Technical expertise with data models, data mining, and segmentation techniques.
- Knowledge of programming language Python and also Azure Data Bricks and Airflow
- Hands-on experience with SQL database design and writing SQL queries
- Great numerical and analytical skills
- Should be able to work on Data pipelines and Backend/DB.
- Analyze and organize raw data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects
Data Engineer Python, Pyspark/spark, SQL, Airflow, Databricks and Azure Cloud SQL database design and writing SQL queries