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Tech Lead Data & Analytics

Tech Lead Data & Analytics

atQorIndia
18 days ago
Job description

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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