Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level data engineer in Bangalore with popular skillset and broad stack increases candidate competition.
Core data engineering skills transfer across industries, but ERP integrations add moderate domain specificity.
Many mandatory technologies and an explicit years range indicate high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout 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.