PythonWhat you will do:
- Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
- Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
- Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
- Involving in building and deploying large scale data processing pipelines in a production environment
- Working with data scientists and other engineers to develop data pipelines for model development and productization
- Identifying gaps and implementing solutions for data security, quality and automation of processes
- Providing inputs on right tool options and model designs for use cases
- Identifying gaps and implementing solutions for data security, quality and automation of processes
- Designing scalable implementations of the models developed by our Data Scientists
Desired Candidate Profile
What you need to have:- 3+ years strong programming experience in PySpark and Python
- Knowledge in Python, SQL, Spark (Pyspark)
- Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
- Analytical and problem-solving skills
- Knowledge in Scrum & code sharing Tech: Git, Jira
- Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
- Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
- Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon