Pyspark Architect
2 days ago
Educational Requirements
Bachelor of Engineering
Service Line
Data & Analytics Unit
Responsibilities
Build robust, performing and high scalable, flexible data pipelines with a focus on time to market with quality.Responsibilities: Act as an active team member to ensure high code quality (unit testing, regression tests) delivered in time and within budget. Document the delivered code/solution Participate to the implementation of the releases following the change & release management processes Provide support to the operation team in case of major incidents for which engineering knowledge is required. Participate to effort estimations. Provide solutions (bug fixes) for problem mgt.
Additional Responsibilities:
- Good knowledge on software configuration management systems
- Strong business acumen, strategy and cross-industry thought leadership
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Two or three industry domain knowledge
- Understanding of the financial processes for various types of projects and the various pricing models available
- Client Interfacing skills
- Knowledge of SDLC and agile methodologies
- Project and Team management
Technical and Professional Requirements:
You have experience with most of these technologies: Pyspark, AWS, Databricks, Spark, HDFS, Python
Preferred Skills:
Technology->Analytics - Packages->Python - Big Data
Technology->Big Data - Data Processing->Spark
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