Cloud Data Engineer

Job description Experience in Development skills using Python, Pyspark and SQL coding. Proficiency in AWS Tools viz. S3, Lambda, SES, SNS, CloudWatch, Glue, Athena, etc.. Experience in maintaining code in GitHub repository with good coding and development standards. Knowledge data types and data frame formation, using API or Spark SQL for Data transformations. Excellent coding skills in Python, PySpark and SQL, with good Data Engineering basics. Knowledge of Cloud/AWS tools Good Knowledge on Data AI skills. Deployment and CICD changes managment with shell scripting & Python coding Understand Agile methodologies and hands on experience using Jira, Confluence or similar agile project management tools. Excellent communication and collaboration skills. Domain background in Financial Services/banking. AWS Certification is a plus BI Tools knowledge Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkAWSPythonSQL