Sr Developer - Data Engineering

Qualifications:

Strong communication skills

Experience of Agile development and scrums
Banking and securities domain knowledge would be an added advantage

Skills Required:

Strong experience working across the entire SDLC lifecycle
Programming experience in one or more application or systems languages, Python - Primary, Scala - Secondary (basic knowledge)
Strong experience working with Python concepts and libraries such as Jupyterhub, Airflow, Pandas, Num Py etc.
Good experience with classes based OOP and design patterns
Distributed Systems Design Experience - including understanding of distributed systems concepts and principles
Knowledge and understanding of Kerberos and authentication
Hadoop Ecosystem of Tools (Spark, Hive, Impala, etc).
Experience extending and implementing core functionality and libraries in data processing platforms (Spark / Spark SQL, Hive, Starburst, etc)
Strong experience working with the CI/CD pipeline and tools like Jenkins , Harness/Tekton,Udeploy/Ansible,Bitbucket, Jira
Strong e xperience in cloud platforms like Kubernetes, Open Shift4
Ability to deal with multiple stakeholders and follow through on open issues.
A commitment to writing understandable, maintainable, and reusable software.
Willingness to learn new languages and methodologies.
Experience working with business partners and engineers to gather, understand, and bridge definitions and requirements.
An innate desire to deliver and a strong sense of accountability for your work.

Education:

Bachelor’s degree/University degree or equivalent experience

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