Snowflake Data Engineer- Bengaluru
VGreenTEK (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 14–20 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement end-to-end data pipelines using Snowflake, AWS services, and Kafka technologies.
- Manage scalable data processing and modern data architectures including Data Lakes and Lakehouse.
- Handle data ingestion, transformation, and integration primarily involving ERP data and associated systems.
Minimum Requirements
- 5-10+ years of experience in Data Engineering.
- Strong hands-on expertise with Snowflake, AWS (DynamoDB, SQS, SNS, Kinesis), Kafka, and Python/PySpark.
- Proficient in ETL/ELT processes, CDC, Apache Iceberg, Parquet/columnar formats, data partitioning and compression.
- Location: Onsite requirement in Bellandur, Bangalore (not explicitly mentioning notice period).
Ideal Candidate Profile
- Experienced in operating within modern data ecosystems involving Snowflake, AWS managed services, and streaming platforms like Kafka and Kinesis.
- Skilled in scalable data pipeline design and optimization with a focus on performance and storage efficiency.
- Familiarity or working knowledge of ERP data integrations and emerging tech like LLM/GenAI is beneficial.