KQL Developer - Data Analytics

About the Role : As a KQL Developer, you will play a crucial role in unlocking the power of data by developing and maintaining sophisticated KQL queries. You will collaborate with cross-functional teams to transform raw data into actionable insights. Your expertise in data analysis and visualization will be instrumental in driving data-driven decision-making. Key Responsibilities : Data Analysis and Visualization : - Develop, test, and optimize complex KQL queries to extract valuable insights from large datasets. - Collaborate with stakeholders to understand business requirements and translate them into effective data solutions. - Design and implement data models to support business analytics and reporting needs. - Create stunning visualizations using Grafana to communicate data insights effectively. Data Engineering : - Develop ETL pipelines using Azure Synapse to orchestrate data ingestion, transformation, and loading processes. - Ensure data quality and integrity by implementing data validation and cleansing procedures. - Optimize query performance and troubleshoot data-related issues. Documentation : - Maintain comprehensive documentation of KQL queries, data models, and ETL processes. - Create clear and concise documentation to facilitate knowledge sharing and future maintenance. Qualifications : - Bachelor's degree in Computer Science, Engineering, or a related field. - 3 years of experience in data analysis and visualization. - Strong proficiency in KQL and SQL. - Experience with data visualization tools like Grafana. - Understanding of database concepts and SQL query optimization techniques. - Experience with cloud platforms, preferably Azure. - Knowledge of data engineering concepts and ETL processes. - Strong problem-solving and analytical skills. - Excellent communication and collaboration skills. Preferred Skills : - Experience with Python or PySpark for data processing and analysis. - Knowledge of machine learning and AI concepts. - Experience with data warehousing and data lake concepts. - Familiarity with data governance and data security practices (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 12/26/2024