Tech Lead Data

3 weeks ago

Odhav, India atQor Full time

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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