• Expertise in SQL coding
• Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS),
• Experience writing Stored Procedures
• Architect level experience leveraging Azure Storages: ADLS Gen2-Blobs, Containers,
• Architect level experience leveraging Azure Data Ingestion tools: Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid
• Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics,
• Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL Pools, SQL Elastic Pools, etc.,
• 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