Experience using Azure DevOps: Repos, CI/CD Pipelines, Test Plans,
Strong experience with NoSQL implementation (Mongo, Cassandra, Cosmos)
Hands-on experience using Big Data technologies likes: Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache Kafka,
Strong experience in scripting languages (Perl, JavaScript, Shell)
Well versed in Programming languages like Python, Scala, R, Java, SQL, etc.,
Experience with UNIX/Linux including basic commands and shell scripting
Experience with any of the following message / file formats: Parquet, Avro, ORC Protobuf
Experience with version control systems like Git
Strong experience building BI reports, data visualizations using Microsoft Power BI
Qualifications
Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data Engineering, advanced algorithms, mathematics in computing, data structures, etc.
Minimum 10 years of experience in the IT function
Minimum 7 years of experience working on Data and Analytics projects
Minimum 5 years of experience working on Advanced Analytics projects leveraging Artificial Intelligence and Machine Learning concepts
Minimum 5 years of experience working on Cloud Platforms (Azure, AWS, Google Cloud Platform etc.) and any Cloud certifications (e.g. Azure Data Engineer Associate Certification) preferred
Minimum 3 years of experience working on Data projects in an Agile environment and good to have any Agile (SAFe, ACP, CSM, CSPO, etc.) certifications
Good to have previous Convenience Store/Petroleum industry experience
Good to have previous Marketing, Loyalty, Digital Guest Experience Business domain knowledge