Remoto: Trabajo híbrido

We are seeking a Data Analyst + Data Engineer to drive end-to-end data pipeline delivery across¿Tiene su CV preparado? Si es así y confía en que este es el puesto adecuado para usted, asegúrese de enviar su solicitud lo antes posible.IHUB/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- 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 understanding xhfqzwm 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 (Gaià)
🏢 Tech Mahindra
📍 Gaià