Job Description
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. 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, ...
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, ...
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