
Tech Lead Data
8 hours ago
Position Tech Lead -Data & Analytics
Job Responsibility Data Handling and Processing:
- Proficient in SQL Server and query optimization.
- Expertise in application data design and process management.
- Extensive knowledge of data modelling.
- Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
- Experience working with Azure Databricks.
- Expertise in data warehouse development, including experience with SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services).
- Proficiency in ETL processes (data extraction, transformation, and loading), including data cleaning and normalization.
- Familiarity with big data technologies (e.G., Hadoop, Spark, Kafka) for large-scale data processing.
- Understanding of data governance, compliance, and security measures within Azure environments.
Data Analysis and Visualization:
- Experience in data analysis, statistical modelling, and machine learning techniques.
- Proficiency in analytical tools like Python, R, and libraries such as Pandas, NumPy for data analysis and modelling.
- Strong expertise in Power BI for data visualization, data modelling, and DAX queries, with knowledge of best practices.
- Experience in implementing Row-Level Security in Power BI.
- Ability to work with medium-complex data models and quickly understand application data design and processes.
- Familiar with industry best practices for Power BI and experienced in performance optimization of existing implementations.
- Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
Non-Technical Skills:
- Ability to lead a team of 4-5 developers and take ownership of deliverables.
- Demonstrates a commitment to continuous learning, particularly with new technologies.
- Strong communication skills in English, both written and verbal.
- Able to effectively interact with customers during project implementation.
- Capable of explaining complex technical concepts to non-technical stakeholders.
Skills Preferred: Data Management:
SQL, Azure Synapse Analytics, Azure Analysis Service and Data Marts, Microsoft Fabric
ETL Tools:
Azure Data Factory, Azure Data Bricks, Python, SSIS
Data Visualization:
Power BI, DAX
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