Data Engineer

3 weeks ago

Vadodara Chennai Mumbai, India Techno Compass Consulting Private Limited Full time
Job Description

Key Roles and Responsibilities:

- Ideally a Data Analyst, Data Scientist, or Data Engineer with specific experience processing geospatial data and working with GIS, ArcGIS, ESRI.
- Initial project duration of 3 months with possibility of extension.
- Analyze, transform, and visualize geospatial data from GIS systems.
- Experience working with Python, MS SQL databases, and Talend for data processing.
- 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 scalable data models to support diverse business requirements.
- Write efficient, scalable code in Python, Scala, or Java.
- Lead data solution design focusing on quality, automation, and performance.
- Own data pipelines feeding into the Data Platform, ensuring reliability and scalability.
- Ensure timely and fit-for-purpose data availability for business and analytics use.
- Collaborate with the Data Product Manager to align data requirements from business systems and endpoints.
- Communicate complex solutions clearly to both technical and non-technical stakeholders.
- Engage with stakeholders and clients to understand their data needs and provide actionable solutions.

Requirements:

- Proven experience with Geospatial data, GIS systems, ArcGIS, and ESRI.
- Track record of delivering large-scale data and analytics solutions in cloud environments.
- Hands-on expertise in implementing end-to-end data pipelines on AWS, including ETL, normalization, aggregation, warehousing, data lakes, and governance.
- Strong experience developing Data Warehouses and understanding modern data architectures such as Data Lake, Lakehouse, Data Mesh.
- Deep knowledge of data architecture, data modeling, and cost-effective data pipeline management.
- Familiarity with CI/CD driven data pipelines and infrastructure tools (e.g., Bitbucket).
- Experience with Agile delivery methodologies, including Scrum and Kanban.
- Supporting QA and user acceptance testing.
- Self-driven with continuous improvement mindset for data processes.

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