We are seeking a Data Analyst + Data Engineer to drive end-to-end data pipeline delivery across 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. 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 • 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 of data quality & governance tools xqziphu (e.g., Proficiency in Python (intermediate level) • Experience handling structured file formats (CSV, XLS, JSON, Parquet) Experience in end-to-end data delivery ownership • Familiarity with data governance and lineage practices • Data modelling skills •

📌 Ingegnere Dei Dati (Barcelona)
🏢 Tech Mahindra
📍 Barcelona