Python Airflow Data engineer ( Snowflake )

Role : Python Airflow Data engineer ( Snowflake )
Location : Hyderabad Bangalore Pune ( Hybrid)
Year of experience : 5 Years
Interview Round : AI Round Panel Discussion Client Round HR Discussion
Notice period : Immediate joiners

Mandatory Skill : Python Airflow Snowflake DBT SQL
Focus Area : take on Airflow architecture (on Azure) onboarding administration or DAG framework development.

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing implementing and maintaining data pipelines and ETL processes to support our data analytics capabilities. You will work closely with data scientists analysts and other stakeholders to ensure data quality and accessibility. Your expertise in Python and Apache Airflow And snowflake will be essential in managing workflows and automating data processes.

Key Responsibilities:
- Design develop and maintain robust and scalable data pipelines to process large datasets.
- Collaborate with cross-functional teams to gather requirements and ensure the integration of data solutions aligned with business needs.
- Optimize ETL processes for performance and efficiency ensuring timely data delivery for analytics and reporting.
- Monitor troubleshoot and improve data workflows using Airflow ensuring reliability and scalability.
- Implement data quality checks and validations to maintain the integrity and accuracy of data.
- Document data processes and architectures for reference and knowledge sharing.
- Stay current with industry trends and best practices in data engineering and analytics.

Skills and Tools Required:
- Proficiency in Python and Snowflake for data processing and automation.
- Strong experience with Apache Airflow for workflow management.
- Familiarity with SQL and relational databases (e.g. PostgreSQL MySQL).
- Knowledge of cloud platforms such as AWS Azure or GCP.
- Understanding of data modeling and data warehousing concepts.
- Experience with ETL tools and technologies.
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science Data Engineering or a related field.
- Experience with big data technologies (e.g. Hadoop Spark) is a plus.
- Familiarity with data visualization tools (e.g. Tableau Looker) is beneficial.
- Previous experience in a fast-paced and agile work environment.