Job DescriptionLooking for a Data Engineering qualified to work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. You will be building, optimizing, and maintaining large data pipelines and warehouse infrastructure in this role.

NKey Responsibilities

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Minumum 5 years of experince in Data Engineering.
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Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
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Implement data ETL processes for batch and streaming analytics requirements.
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Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
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Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
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Ensure data security, integrity, and compliance throughout the infrastructure.
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Maintain documentation and contribute to architecture reviews.
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Participate in incidentresponse and operational excellence initiatives for the data warehouse.
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Continuously learn mindset and apply current Hadoop ecosystem tools and data technologies.
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nRequired Skills

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Snowflake Architecture, Snowpipe, Streams & Tasks, Virtual Warehouses.
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SQL, Python, PySpark.
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ETL/ELT Development andCDC.
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dbt.
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Medallion Architecture.
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Dimensional Modeling and SCD Type 1 & Type 2.
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SAP HANA to Snowflake migration experience.
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AWS/Azure/GCP knowledge.
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Git, Azure DevOps, Jira, Confluence.
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Solid analytical and stakeholder management skills.
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nPreferred Qualifications

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Bachelor's degreein Computer Science, IT, Engineering, or related field.
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Enterprise-scale Snowflake implementation experience.
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SnowPro Core Certification.
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Cloud certifications (AWS/Azure/GCP).
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Agile/Scrum experience.
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nNice to Have

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Snowpark
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AI/ML Data Engineering
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LLMs, Prompt Engineering, RAG
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DataOps / CI-CD Pipelines
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Experience with globally distributed teams
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📌 Senior Data Engineer Bengaluru (India)
🏢 Movate
📍 India