Hire for Azure Data Engineer - T9

Job Description

*Helps business clients to generate decision-making insights from raw data by automated collection from multiple sources, exploratory data analysis, data modelling and visualization of KPI. Helps business clients to set up reporting solution for Big Data/ Cloud systems. He/she should manage and design data-driven controlled experiments by collecting relevant data from various sources. He uses data modelling techniques to discover information and relationship in the client s datasets and recommends the design and insights presented for reporting. Key Value : You provide consulting services to clients in providing business intelligence solution with data modelling and business domain knowledge.Responsibilities:
• Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements
• Using automated tools to extract data from primary and secondary sources
• Data Engineering to build pipelines
• Exploratory Data Analysis to clean and improve the quality of the data
• Using tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Manipulates and analyzes complex, high-volume, high-dimensional data using data analysis techniques
• Works on data modelling, KPI development and insight generation
• Develop visualization using excel, Power BI, Tableau. for insight generation
• Advanced visualization using DAX, Python programming
Professional Skills
• Bachelors or Master s degree in Mathematics, Computer Science, Physics or Statistics
• Experience in a consulting or client-facing environment
• Good knowledge of database warehousing principles and tools
• Azure Data Engineering - SQL, Hadoop concepts, Hive/Databricks, Spark/PySpark, Azure (ADLS, ADF, Databricks, VM, SQL Server)
• Ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy
• Must be a self-starter/strong drive for results
• Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI
• Advanced technical skills in Database and SQL
• Advanced knowledge in programming language Python
• Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.)
• Knowledge of agile development methodologies
• Proven working experience in data analysis
• Adept at queries, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skill
, *Helps business clients to generate decision-making insights from raw data by automated collection from multiple sources, exploratory data analysis, data modelling and visualization of KPI. Helps business clients to set up reporting solution for Big Data/ Cloud systems. He/she should manage and design data-driven controlled experiments by collecting relevant data from various sources. He uses data modelling techniques to discover information and relationship in the client s datasets and recommends the design and insights presented for reporting. Key Value : You provide consulting services to clients in providing business intelligence solution with data modelling and business domain knowledge.Responsibilities:
• Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements
• Using automated tools to extract data from primary and secondary sources
• Data Engineering to build pipelines
• Exploratory Data Analysis to clean and improve the quality of the data
• Using tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Manipulates and analyzes complex, high-volume, high-dimensional data using data analysis techniques
• Works on data modelling, KPI development and insight generation
• Develop visualization using excel, Power BI, Tableau. for insight generation
• Advanced visualization using DAX, Python programming
Professional Skills
• Bachelors or Master s degree in Mathematics, Computer Science, Physics or Statistics
• Experience in a consulting or client-facing environment
• Good knowledge of database warehousing principles and tools
• Azure Data Engineering - SQL, Hadoop concepts, Hive/Databricks, Spark/PySpark, Azure (ADLS, ADF, Databricks, VM, SQL Server)
• Ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy
• Must be a self-starter/strong drive for results
• Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI
• Advanced technical skills in Database and SQL
• Advanced knowledge in programming language Python
• Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.)
• Knowledge of agile development methodologies
• Proven working experience in data analysis
• Adept at queries, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills

Keyskills :
sqljavadata warehousinginformaticapythonexploratory data analysisbig datapower bidata analysis