BSc degree in Computer Science/Computer Engineering. (Masters is a plus.), 2+ years of experience as a Data Engineer.
In-depth understanding of core ETL concepts, Data Modelling, Data Lineage, Data Governance, Data Catalog, etc.
2+ years of work experience in Scala, Python, Java.
Good Knowledge on Big Data Tools such as Spark/HDFS/Hive/Flume, etc.
Hands on experience on ETL tools like Talend/Informatica is a plus.
Good knowledge in Kafka and spark streaming is a big plus.
2+ years of experience in using Azure cloud and its resources/services (like Azure Data factory, Azure Databricks, SQL Synapse, Azure Devops, Logic Apps, Power Bi, Azure Event Hubs, etc).
Strong experience in Relational Databases (MySQL, SQL Server)
Exposure on data visualization tools like Power BI / Qlik sense / MicroStrategy
2+ years of experience in developing APIs (REST & SOAP protocols).
Strong knowledge in Continuous Integration & Continuous Deployment (CI/CD) utilizing Docker containers, Jenkins, etc.
Strong competencies in algorithms and software architecture.
Excellent analytical and teamwork skills.
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