Data Engineer

Notice period: Immediate to 15 days
Mandatory skills: Data warehousing technologies, including Snowflake, Amazon
S3, and Redshift, ETL pipelinesusing Airflow, particularly AWS
Managed Workflows for Apache Airflow, Jenkins, GitLab CI/CD, or
AWS Code Pipeline

Around 8 to 10 yrs exp. Strong ETL and AWS working knowledge.

Strong experience with data warehousing technologies, including Snowflake, Amazon
S3, and Redshift.
Proficiency in building and managing ETL pipelinesusing Airflow, particularly AWS
Managed Workflows for Apache Airflow (MWAA).
Solid understanding of AWS servicesand cloud architecture.
Experience with DevOps practices and CI/CD tools, such as Jenkins, GitLab CI/CD, or
AWS Code Pipeline.
Strong programming skills in Python and SQL, with experience in writing efficient,
maintainable, and scalable code.
Ability to work collaborativelywith cross-functional teams and manage projects
independently.
Excellent problem-solving and communication skills, with the ability to explain technical
concepts to non-technical stakeholders."