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 xhfqzwm (e.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
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📌 Ingegnere dei dati (Cataluña)
🏢 Tech Mahindra
📍 Cataluña