KQL Query Expert
2 days ago
About the Role
We are seeking a skilled KQL Query Expert to join our team at Nilasu Consulting. As a KQL Query Expert, 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.
Estimated Salary: $125,000 - $155,000 per year
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