Tech Lead Data & Analytics

As a Tech Lead specializing in Data & Analytics, you will be responsible for the following: **Role Overview:** You will play a crucial role in handling and processing data efficiently, ensuring optimal performance and data integrity. Additionally, you will be involved in data analysis, statistical modeling, and visualization to derive meaningful insights for the organization. **Key Responsibilities:** - Proficient in SQL Server with a focus on query optimization. - Expertise in application data design and process management. - Extensive knowledge of data modeling techniques. - Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. - Experience working with Azure Databricks. - Expertise in data warehouse development, including SSIS and SSAS. - Proficiency in ETL processes, data cleaning, and normalization. - Familiarity with big data technologies like Hadoop, Spark, and Kafka. - Understanding of data governance, compliance, and security within Azure environments. - Experience in data analysis, statistical modeling, and machine learning techniques. - Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy. - Strong expertise in Power BI for data visualization, data modeling, and DAX queries. - Experience in implementing Row-Level Security in Power BI. - Ability to work with medium-complex data models and understand application data design quickly. - Familiar with industry best practices for Power BI and performance optimization. - Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques. **Qualifications Required:** - Ability to lead a team of 4-5 developers and take ownership of deliverables. - Commitment to continuous learning and staying updated with new technologies. - Strong communication skills in English, both written and verbal. - Effective interaction with customers during project implementation. - Capability to explain complex technical concepts to non-technical stakeholders. In addition to technical skills, the following skills are preferred for this role: - Data Management: SQL, Azure Synapse Analytics, Azure Analysis Service, Data Marts, Microsoft Fabric - ETL Tools: Azure Data Factory, Azure Databricks, Python, SSIS - Data Visualization: Power BI, DAX This comprehensive role requires a blend of technical expertise, leadership skills, and effective communication to drive successful data and analytics projects within the organization.,