Responsibilities:
- Responsible for technical delivery for the respective scrum
- Displays good team planning and organizing skills and ensures that all scrum ceremonies/activities are run in a proper manner
- Guide and mentor the team, offers workable solutions to the various problems and ideas being faced by the team, enable team members to contribute well Individually with ownership mindset
- Actively involved in code reviews, design and architecture
- Conduct / drive the scrum ceremonies and also motivate the other members to actively participate
- Closely work with respective stakeholder like Product Owner, Scrum Master to define Sprint goals
- Take the end-to-end ownership of Sprint deliverable
- Work with the product owner on product backlog and prioritization and other respective stakeholders
- The ability to convey ideas, problems and solutions to both technical and non-technical colleagues.
- Proactively asking for more work in case of bandwidth available
- Technically sound and actively learn new thing/new technologies
- Actively Participate and drive tech events like Tech sync, Review meetings, Tech strategy
- Displays good leadership skills and has great abilities to influence others
Skills:
- Strong experience in Python
- Strong technical leadership and organizational skills
- Good experience using Design Patterns with better understanding of anti-patterns - preferably in Python
- Proficient in Data Ingestion, Data Processing, Data Exploration techniques
- Good experience designing Modern Data Architecture
- Intellectual curiosity to find new and unusual ways of how to solve data processing issues
- Good work experience and proof of technical expertise in PySpark, AWS Glue, Lambda, Athena, S3, EMR, File formats Avro, Parquet, CSV, JSON etc.
- Proficient in Big Data tools/frameworks, ETL, Data warehouse, Data Lake
- Better understanding & knowledge of CI/CD implementation, Terraform
- Proficient in Linux
- Strong analytic skills related to working with unstructured datasets
- Good to have - Any experience in Apache Open Source Data processing tools and technologies, Data Analytics tools, any visualization tools like Tableau, Grafana etc
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