Skill Set :

1. Advanced programming skills in languages such as Python, Java, or PowerShell.
2. Proficiency in SQL and scripting languages for data manipulation and automation.
3. Familiarity with various database systems (e.g., Oracle, SQL Server, MySQL) and cloud platforms (e.g., AWS, Azure, GCP).
4. Proficient in SQL and python.
5. Strong expertise in configuring and managing, including installation, setup, and optimization.
6. Basic Understanding of data engineering and data warehouse concepts and principles
7. Understanding of data integration and ETL tool(like Informatica, Talend, PL/SQL, Pyspark etc)
8. Excellent analytical and problem-solving skills with a keen eye for detail.
9. Excellent analytical and problem-solving skills with a keen eye for detail.
10. Familiarity with complex data relationships and the data mapping process
11. Must have 60%/6.0 CGPA throughout Bachelor’s, 12th/PU and 10th Std.
12. Must have sound knowledge of English – Any knowledge of a foreign language is a bonus.

Job Description :

1. Develop, test, implement, and maintain deployment Pipelines, and Airflow DAGs.
2. Configure task scheduling, dependencies, and retries within Apache Airflow DAGs.
3. Manage and troubleshoot task failures and errors.
4. Integrate and configure plugins for connecting Apache Airflow with external systems, databases, and cloud platforms.
5. Implement custom hooks and operators to extend Airflow’s capabilities.
6. Configure and manage Apache Airflow environments across different stages (development, testing, production).
7. Collaborate with DevOps teams to ensure smooth deployment and scaling of Airflow instances.