Remoto: Trabajo híbrido

We are seeking a Data Analyst + Data Engineer to drive end-to-end data pipeline delivery acrossIHUB/DataCore platforms.This hybrid role requires hands-on expertise in data analysis, SQL engineering, pipeline orchestration, and data governance, ensuring high-quality, reliable data delivery to business consumers.Key Responsibilities Solicitar este puesto es fácil. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición. - Gather and translate business requirements into scalable data solutions - Perform detailed data profiling (mandatory): analyze schema, nulls, distributions, volume trends,inconsistencies, and file structures across sources (CSV/XLS/JSON, APIs, DBs) - Profile and analyze source data (CSV/XLS/JSON, APIs, DBs), source types (SharePoint, SFTP, API, DB) - Design, build, and configure IHUB data pipelines end-to-end - Develop SQL-based transformations (staging, marts, incremental loads) - Implement data quality rules and governance controls (DQ, lineage, classification) - Configure data ingestion into Snowflake (COPY INTO, Snow pipe,



stages) - Support deployment, testing, and business acceptance - Monitor pipelines, manage SLAs, and handle production incidents - Collaborate with stakeholders and provide clear delivery updatesRequired Skills - Strong SQL expertise (advanced transformations, MERGE, performance tuning) - Hands-on experience with Snowflake - Exposure to data pipeline orchestration tools (IHUB or similar) - Experience with AWS services: S3, Lambda, EventBridge, IAM - Good xqysrnh understanding of data quality & governance tools (e.G., Collibra, Immuta, Atacama –preferred) - Proficiency in Python (intermediate level) - Experience handling structured file formats (CSV, XLS, JSON, Parquet)Preferred - Experience in end-to-end data delivery ownership - Familiarity with data governance and lineage practices - Data modelling skills - Strong stakeholder communication and documentation skillsSalary Range:EUR 48,000-60,000 gross/year (negotiable)

📌 Data Engineer (España)
🏢 Tech Mahindra
📍 España