Senior Data Engineer
Published date: 2024/01/10
- Location: Gurugram, Haryana, India
You will act as a key member of the Data consulting team, working directly with the partners and senior stakeholders of the clients designing and implementing big data and analytics solutions. Communication and organization skills are keys for this position, along with a problem-solution attitude.
Desired Work Experience : 5-8 years
• Develop data solutions within a Big Data Azure and/or other cloud environments.
• Working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams.
• Build and design Data Architectures using Azure Data factory, Databricks, Data lake, Synapse.
• Liaising with CTO, Product Owners and other Operations teams to deliver engineering roadmaps showing key items such as upgrades, technical refreshes and new versions.
• Perform data mapping activities to describe source data, target data and the high-level or detailed transformations that need to occur.
• Assist Data Analyst team in developing KPIs and reporting in tools viz. Power BI, Tableau.
• Data Integration, Transformation, Modelling.
• Maintaining all relevant documentation and knowledge bases.
• Research and suggest new database products, services and protocols
Desired Work Experience : 5-8 years
• Develop data solutions within a Big Data Azure and/or other cloud environments.
• Working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams.
• Build and design Data Architectures using Azure Data factory, Databricks, Data lake, Synapse.
• Liaising with CTO, Product Owners and other Operations teams to deliver engineering roadmaps showing key items such as upgrades, technical refreshes and new versions.
• Perform data mapping activities to describe source data, target data and the high-level or detailed transformations that need to occur.
• Assist Data Analyst team in developing KPIs and reporting in tools viz. Power BI, Tableau.
• Data Integration, Transformation, Modelling.
• Maintaining all relevant documentation and knowledge bases.
• Research and suggest new database products, services and protocols
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