Data Engineer - Azure Synapse

Requirements : Will likely have a degree in Computer Science, Statistics, Informatics, Information Technology, or quantitative field. Microsoft Azure Synapse Analytics experience is essential. (Dedicated SQL Pool, Azure Data Factory, Azure Storage) Excellent communication skills with the ability to work within a team, across the business, and build strong relationships. End-to-end Data Warehouse experience: ingestion, ETL, big data pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/relational database knowledge (including SSIS), and query authoring (SQL). Experience performing root cause analysis on data, answering specific business questions, and identifying opportunities for improvement. Highly organized, self-starting, methodical, and with the ability to manage complex projects. Highly analytical with strong attention to detail. Experience supporting and working with cross-functional teams in a dynamic environment. Understanding of machine learning and artificial intelligence ML libraries and frameworks (TensorFlow, Spark, etc). Experience with Data Governance (Quality, Lineage, Data dictionary, and Security). Proficiency in programming languages such as Python or equivalent for data engineering tasks. Familiarity with Git for version control and Azure DevOps for continuous integration and continuous deployment (CI/CD) processes. (ref:hirist.tech)

Location: Bangalore, IN

Posted Date: 4/24/2024