Data Engineer

Job Summary
We are looking for an experienced  Data Engineer  with  6–8 years of hands-on experience  in building and managing modern data platforms using  SQL,   Databricks, Azure, Snowflake, and CI/CD . The candidate should have strong knowledge of SQL and data engineering, cloud technologies, and deployment automation.
The ideal person should be able to design scalable data solutions, build robust ETL/ELT pipelines, work with cloud-native services, and support advanced use cases involving  Gen AI, APIs, GraphQL, Kafka, Terraform, and Azure Functions . The role requires good problem-solving skills, ownership mindset, and the ability to work closely with cross-functional teams.

Skills require
dSQL - 6 to 8 years of strong hands-on experience (Expert level
)Databrick s – 6 to 8 years of strong hands-on experience (Expert level
)Azure (Cloud Services ) – 6 to 8 years of experience working on Azure platform (Expert level
)Snowflak e – 5+ years of experience in data warehousing and Snowflake (Expert level
)CI/CD Tool s – 5+ years of experience in building and managing deployment pipelines (Expert level
)GraphQ L – 2 to 3 years of experience (Intermediate level
)API Development & Integratio n – 2 to 4 years of experience (Intermediate level
)Terrafor m – 2 to 3 years of experience in infrastructure automation (Intermediate level
)Kafk a – 2 to 3 years of experience in event-driven architecture (Intermediate level
)Azure Function s – 2 to 3 years of experience in serverless computing (Intermediate level
)Gen AI / A I – 1 years of working knowledge or project exposure (Intermediate level

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