Analytics Engineer

Key Responsibilities

• Design develop and maintain lowcode enabled data pipelines for collecting transforming and loading data into various data stores and build insightful reports.
• Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights
• Develop and deploy data models that cater to various business requirements and enable efficient data analysis
• Lead the design of data solutions with a focus on automation performance and quick report generation
• Ensure data is readily available for business and analytics consumption and monitor the quality of the data
• Collaborate with crossfunctional teams and stakeholders to understand data requirements and drive datadriven initiatives
• Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements
• Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and nontechnical stakeholders
• Communicate complex data solutions in a clear and understandable manner to both experts and nonexperts
• Interact with stakeholders and clients to understand their data requirements and provide lowcode enabled solutions
• Stay uptodate with industry trends and technology advancements in data engineering and analytics
• Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.
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  Knowledge Skills and experience required
  
  
  • Extensive experience leading AWS and cloud data platform transformations
  • Proven track record of delivering largescale data and analytical solutions in a cloud environment
  • Handson experience in endtoend data pipeline implementation using AWS services including data preparation extraction transformation & loading normalization aggregation warehousing data lakes and data governance
  • Expertise in developing data warehouses and indepth understanding of modern data architecture such as Data Lake Data Warehouse Lakehouse and Data Mesh
  • Strong knowledge of data architecture and data modelling practices with the ability to costeffectively manage data pipelines
  • Data ModellingPython SQL NoSQL DBs (Mongo) Snowflake AWS Cloud APIs Tableau PowerBI DQ Framework DWH Real time reporting