Description

Experience: 5–7 Years

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
Python, Pandas, and NumPy.
SQL, PostgreSQL, and MySQL.
Snowflake and Redshift.
ETL tools: Apache Airflow and Talend.
Cloud platforms: AWS, Azure, and Google Cloud.
Data Modelling and Data Warehousing.

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
Hadoop and Spark.
Tableau and Power BI.
Machine Learning concepts and frameworks.
Docker and Kubernetes.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
Build and maintain scalable data pipelines.
Develop data models and ETL workflows.
Ensure data quality and integrity.
Optimize data processing and troubleshoot pipeline issues.
Collaborate with data scientists and analysts.
Document data engineering processes and best practices.
Qualification: Bachelor's degree in Computer Science, Engineering, or a related field

Key Skills

Education

Any Graduate