Manage and create design schema, SQL query tuning, and code review.
Min 5 years of professional experience in the field of data engineering with knowledge of the data platform and DWH development.
Min 2 years of hands-on experience in SSAS tabular models.
Designed Data Ingestion and Orchestration Pipelines with Kafka-Snowflake and Python.
Design and develop DBT models and build the data pipeline processes to perform processes as per DBT scripting.
Experience with analytical tools such as SQL , ETL / ELT (Azure Data Factory, APIs), Cloud (Azure Functions & Storage), and BI tools (Power BI, Thought Spot).
Proficient in SSAS DAX queries.
Experience in a role performing data warehouse and analytics solution design and development using a variety of techniques.
Experience in Data Lake Concepts with Structured, Semi-Structured, and Unstructured Data.
Independently analyze and correct issues in real-time, providing end-to-end problem resolution.
Refine and automate regular processes, track issues, and document changes.
High level of independence and responsibility.
Excellent teamwork and communication will excite you :
Complete ownership and independence of execution.
Experiment, fail and learn(with a condition 'Fail Fast').
High pedigree, high caliber team.
Contribute to every area of our business.
Have a real impact on your : Ahmedabad Work from Office.
(ref : hirist.tech)
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Senior Data Engineer • Ahmedabad
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