Requirements:

- 8+ years of professional software engineering mostly focused on the following: 3 to 4 years of customer-facing international exposure.

- At least 2 years of experience interacting with technology and business senior leaders.

- Exceptional leadership, communication and stakeholder management skills Leading innovation and automaton agendas for data engineering organizations.

- Lead organization hiring for data engineering Have interfaced with customers and helped organization de-escalate situations.

- Developing ETL pipelines involving big data.

- Developing data processing\analytics applications primarily using PySpark.

- Experience of developing applications on cloud(AWS) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming.

- Clear understanding and ability to implement distributed storage, processing and scalable applications.

- Experience of working with SQL and NoSQL database.

- Ability to write and analyze SQL, HQL and other query languages for NoSQL databases.

- Proficiency is writing disitributed & scalable data processing code using PySpark, Python and related libraries.

- Experience of developing applications that consume the services exposed as ReST APIs.

- Special Consideration given for Experience supporting GTM strategy and supporting pre-sales teams

- Experience of working with Container-orchestration systems like Kubernetes.

- Experience of working with any enterprise grade ETL tools.

- Experience & knowledge with Adobe Experience Cloud solutions.

- Experience & knowledge with Web Analytics or Digital Marketing.

- Experience & knowledge with Google Cloud platforms.

- Experience & knowledge with Data Science, ML/AI, R or Jupyter