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Must Have Skills:

ETL PL/SQL GCP

Detailed Job Description:

Strong technical skills in SQL, relational databases (Oracle required) and big data techniques. Knowledge of Cloud Computing preferred (Google Cloud Platform)  Programming language and operating system expertise, UNIX (strongly preferred), Python (strongly preferred), Java, C++, Perl or XML (nice to have) Experience writing complex queries with efficiencies in optimization Experience with integration of complex data sets and able to derive conclusions Expertise in design and development of data warehouses, BI solutions and other data systems Experience in various modeling techniques such as process, data and object modeling Experience developing and deploying applications in a multi-tier environment Experience in data analysis methodologies and processes and their linkages to other processes in the software development lifecycle Experience in full project lifecycle including all stages of design, development and implementation of custom applications as well as the deployment of packaged solutions Highly detail-oriented and organized, with the ability to multi-task and work in a very fast paced environment Excellent verbal and written communication skills with the ability to present to both technical and non-technical audiences Experience in various data requirements elicitation, analysis and validation techniques Experience in JIRA and/or Scrum technologies is a plus Programming proficiency with analytical platform software and BI systems expertise, preferably Microstrategy, Tableau, Alteryx is a plus Experience in leading business users, and data analysts in data requirements gathering exercises is a plus Experience in writing transformation logic to do data cleansing and enrichment using Big query, SQL or pyspark, Unit/End to End testing and packaging it for deployment in production environment Knowledge of Cloud Computing (preferably Google Cloud Platform)  Knowledge of Shell scripting, Python is a plus as these are used for pipelining and API based data ingests