Data Engineer

1 week ago

Mumbai Chennai, India WovV Technologies (Division of Techno compass consulting Pvt Ltd) Full time
Job Description : Data Engineer
Location: WFH/Remote
Experience: 3+ years

Skills - GIS, ArcGIS, ESRI, Python, MS SQL, Talend, Cloud
Contract Duration - 3-month project duration initially, this could be extended

  • Ideally, a Data Analyst, Data Scientist or Data Engineer who has specific experience in processing geospatial data, experience with GIS, ArcGIS, ESRI.
  • 3-month project duration initially, this could be extended
  • Good understanding and expertise in working with Geospatial data from GIS systems
  • Ability to analyze, transform and visualize geospatial data
  • Experience in Python & System Databases i,e. (MS SQL), Talend
  • Design, develop, and maintain data pipelines for collecting, transforming, and loading data into various data stores.
  • Build and maintain data warehousing and data lake solutions
  • Develop and deploy data models that support various business requirements
  • Write efficient and scalable code in languages such as Python, Scala, or Java
  • Lead the design of data solutions with quality, automation, and performance in mind
  • Own the data pipelines feeding into the Data Platform ensuring they are reliable and scalable
  • Ensure data is available in a fit-for-purpose and timely manner for business and analytics consumption
  • Work closely with the Data Product Manager to support alignment of requirements and sources of data from line of business systems and other endpoints
  • Communicate complex solutions in a clear and understandable way to both experts and non-experts
  • Interact with stakeholders and clients to understand their data requirements and provide solution
Knowledge, skills and experience required:
  • Experience with Geospatial data, GIS systems, ArcGIS, ESRI.
  • Proven track record of delivering large-scale data and analytical solutions in a cloud environment
  • Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
  • Expertise in developing Data Warehouses
  • In-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
  • Strong knowledge of data architecture and data modelling practices, Cost-effective management of data pipelines
  • Familiarity with CI/CD driven data pipeline and infrastructure (e.g. Bit Bucket)
  • Agile delivery approach using Scrum and Kanban methodologies
  • Supporting QA and user acceptance testing processes
  • Self-driven and constantly seeking opportunities to improve data processes

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