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No of position :- ( 1 )
Post :- 11th Jan 2024
• Seeking a highly skilled Data Engineer with 10 years of experience in. Must have expertise in Spark and Scala.
• 5+ Years of IT experience in AWS Cloud, Databricks,AWS S3 , Spark/Scala ,Big Data tool and technologies
• Build Data Mapping documents before coding with provided requirements
• Excellent knowledge in writing SQL queries for any given problem statement
• Programming knowledge in AWS Cloud,AWS Glue ETL,Scala, Java or Python (preferable Scala)
• Good understanding of Spark concepts – RDD/Dataframes/Datasets/Streaming and experience with coding in Scala is preferred
• Need to have a good understanding of cloud terminologies in AWS and have a good grasp of all basic AWS services (eg. S3/IAM etc.)
Roles & Responsibilities:
• Perform Data Analysis understanding the existing business requirements
• Design and build scalable data pipelines using Big Data stack Databricks, Spark Scala, AWS – Athena, S3, Glue ETL, Redshift, Dynamo DB
• Design Ingress and Egress patterns for data lake to support self-service use cases and improve time to business value.
• Implement CI/CD data pipelines using Git Hub, Jenkins and Artifactory to automate the code build and promotion process.
• Engage with customers and principal architects, understand the business requirements and build AWS cloud big data platform and solutions.
• Create proof of concepts, evaluate new products and develop a roadmap for NextGen Technology and Digital Cloud First strategy
• Jobs Orchestration
• Ability to work independently and guide other new team members end-to-end from Development to unit testing to UAT and Prod Deployment/cut over ensuring quality
• Any experience with AWS Cloud,AWS Glue ETL,Databricks Delta/Redshift/ Talend Big Data would be added advantage
• Good written and oral communication skills
• Ability to work independently in agile scrum methodology.