Job Purpose:
Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews.
Who You Are:
5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing 2+ years of hands-on experience with SSAS Tabular Models Experience designing data ingestion and orchestration pipelines using Kafka, Snowflake, and Python Hands-on experience with DBT for data modeling and pipeline development Strong knowledge of SQL, ETL/ELT, Azure Data Factory, APIs, Azure Functions, and Azure Storage Experience with BI tools such as Power BI and Thought Spot Proficient in SSAS and DAX Experience designing Data Warehouse and analytics solutions Good understanding of Data Lake concepts and structured, semi-structured, and unstructured data Strong problem-solving, communication, and ownership skillsWhat Will Excite Us:
Strong experience in SQL query tuning, data modeling, and DWH design Hands-on experience with Kafka, Snowflake, Python, DBT, and Azure Experience with Data Lake and large-scale analytics platforms Ability to independently troubleshoot issues and drive end-to-end solutions Experience with automation and process optimizationWhat Will Excite You:
Complete ownership and independence of execution Work with a high-caliber, high-pedigree team Experiment, fail, and learn with a "Fail Fast" mindset Opportunity to contribute across business areas and make a real impactLocation: Ahmedabad - Work From Office
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