Info Way Solutions
Python with DevOps Experience
Austin, TX
Onsite Job
Primary skill : Python and DevOPs Nice to have skill : Hadoop and AWS
Description: • In this role you will be responsible for engineering, integrating and maintaining an analytics data platform based on a hybrid cloud infrastructure. • Work collaboratively with our Data Engineering team to engineer custom solutions when required. • Participate and provide support to our stakeholders and platform users when required.
Key Qualifications: • 3+ years of professional experience with the Python programming language. • 2+ years of professional software engineering experience (APIs, services, tooling and automation). • Knowledge and experience in working with Docker, Kubernetes, and related technologies. • Knowledge and experience with DevOps methodologies. • Excellent time management skills with the ability to manage work to tight deadlines. • Experience developing solid and scalable technical solutions to business problems. • Experience with agile development and work management methodologies. • bility to pick up new technologies relatively quickly. • bility to communicate effectively (written and spoken). • bility to work with the multi-timezone development teams and self-manage own work. • strong work ethic.
Nice to Have: Professional experience with Java/Scala based analytics platforms (Hadoop, Spark, Hive, Trino, etc.). Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus.
Primary skill : Python and DevOPs Nice to have skill : Hadoop and AWS
Description: • In this role you will be responsible for engineering, integrating and maintaining an analytics data platform based on a hybrid cloud infrastructure. • Work collaboratively with our Data Engineering team to engineer custom solutions when required. • Participate and provide support to our stakeholders and platform users when required.
Key Qualifications: • 3+ years of professional experience with the Python programming language. • 2+ years of professional software engineering experience (APIs, services, tooling and automation). • Knowledge and experience in working with Docker, Kubernetes, and related technologies. • Knowledge and experience with DevOps methodologies. • Excellent time management skills with the ability to manage work to tight deadlines. • Experience developing solid and scalable technical solutions to business problems. • Experience with agile development and work management methodologies. • bility to pick up new technologies relatively quickly. • bility to communicate effectively (written and spoken). • bility to work with the multi-timezone development teams and self-manage own work. • strong work ethic.
Nice to Have: Professional experience with Java/Scala based analytics platforms (Hadoop, Spark, Hive, Trino, etc.). Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus.