Job
Description
Note: Only candidates with up to 30 days official notice period will be considered. If shortlisted, we will reach out via WhatsApp and email – please respond promptly. Work Type: Full-time | On-site Compensation (Yearly): INR(₹) 1,200,000 to 2,400,000 Working Hours: Standard Business Hours Location: Bengaluru / Gurugram / Nagpur Notice Period: Max 30 days About The Client A technology-driven product engineering company focused on embedded systems, connected devices, and Android platform development. Known for working with top-tier OEMs on innovative, mission-critical projects. About The Role We are hiring a skilled Data Engineer (FME) to develop, automate, and support data transformation pipelines that handle complex spatial and non-spatial datasets. This role requires hands-on expertise in FME workflows, spatial data validation, PostGIS, and Python scripting, with the ability to support dashboards and collaborate across tech and ops teams. Must-Have Qualifications Bachelor’s degree in Engineering (B.E./B.Tech.) 4–8 years of experience in data integration or ETL development Proficient in building FME workflows for data transformation Strong skills in PostgreSQL/PostGIS and spatial data querying Ability to write validation and transformation logic in Python or SQL Experience handling formats like GML, Shapefile, GeoJSON, and GPKG Familiarity with coordinate systems and geometry validation (e.g., EPSG:27700) Working knowledge of cron jobs, logging, and scheduling automation Preferred Tools & Technologies ETL/Integration: FME, Python, Talend (optional) Spatial DB: PostGIS, Oracle Spatial GIS Tools: QGIS, ArcGIS Scripting: Python, SQL Formats: CSV, JSON, GPKG, XML, Shapefiles Workflow Tools: Jira, Git, Confluence Key Responsibilities The role involves designing and automating ETL pipelines using FME, applying custom transformers, and scripting in Python for data validation and transformation. It requires working with spatial data in PostGIS, fixing geometry issues, and ensuring alignment with required coordinate systems. The engineer will also support dashboard integrations by creating SQL views and tracking processing metadata. Additional responsibilities include implementing automation through FME Server, cron jobs, and CI/CD pipelines, as well as collaborating with analysts and operations teams to translate business rules, interpret validation reports, and ensure compliance with LA and HMLR specifications. Show more Show less
