DTICI_T8_Data_engineer_Manufacturing_Operations

The candidate must have proven track record of building data driven solution in cloud platform, specific in Azure environment to build data engineering solutions. He/She should help 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/she uses data modelling techniques to discover information and relationship in the client s datasets and recommends the design and insights presented for reporting. He/She should help in building and managing data products for end users.

Key Value: You provide consulting services to business users in providing business intelligence solution with data modelling and business domain knowledge.

Bachelors or Master s degree in mathematics, Computer Science, Physics or Statistics.

4-7 years of experience in a consulting or client-facing environment.

Good knowledge of database warehousing principles and tools.

Proficiency in Azure Data Engineering concepts in Data integration, Data quality, building CI/CD pipeline Data storage(ADLS)

Minimum of 2-3 years of hands-on experience in Cloud technologies such as Azure Databricks, Spark, Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.

Ability to collect, organize, analyse, 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.

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, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.

Manipulates and analyses 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.

Ability to work on Snowflake platform, build scalable data pipeline and futuristic data architecture which helps in building ML models, dashboards for business users

Bachelors in IT/Computer Science

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