Data Engineer
Actively Reviewing the ApplicationsRecro
India, Karnataka, Bengaluru
Full-Time
On-site
Posted 3 weeks ago
•
Apply by June 3, 2026
Job Description
Data Engineer |📍 Bangalore | 💻 3+ Years Experience
Role Overview
We are looking for a Data Engineer to design and manage scalable data pipelines powering AI-driven SaaS applications for the Consumer Packaged Goods (CPG) sector. This role focuses on building reliable data infrastructure to enable insights into consumer behavior and supply chain performance.
Required Skills
- 3+ years of experience in Data Engineering.
- Strong coding in Python, PySpark, and SQL.
- Hands-on experience working with Apache Spark in production environments.
- Experience building scalable ETL pipelines and data workflows.
- Familiarity with Airflow / Kubeflow orchestration tools.
- Experience with AWS cloud services for data engineering workloads.
- Strong understanding of data modeling, big data infrastructure, and performance optimization.
- Experience with GitHub, Docker, and modern development tools.
Key Responsibilities
- Build, maintain, and optimize scalable data pipelines (ETL/ELT) for AI and Predictions-as-a-Service platforms.
- Develop and orchestrate pipelines using Airflow / Kubeflow.
- Write efficient Python, PySpark, and SQL code for large-scale data processing.
- Own end-to-end pipeline lifecycle including development, monitoring, debugging, and optimization.
- Design and document data architectures, HLDs/LLDs, and technical solutions.
- Collaborate with AI/ML, MLOps, DevOps, and Product teams to implement data-driven solutions.
- Optimize data ingestion, transformation, and pipeline performance.
Nice to Have
- Experience supporting AI/ML data pipelines.
- Exposure to large-scale data platforms and real-time monitoring systems.
Required Skills
Engineering
Monitoring
Python
Apache Spark
SQL
Data Modeling
Consumer Behavior
AWS
Docker
GitHub
Spark
MLOps
Kubeflow
Airflow
ETL
Data Engineering
DevOps
Apache
Cloud services
Debugging
Supply chain
Orchestration
Performance optimization
Saas applications
Data ingestion
Modeling
Big Data
Data platforms
Ingestion
Data pipelines
AWS Cloud
PySpark
Development tools
ETL Pipelines
Monitoring Systems
ELT
AI/ML
AWS Cloud Services
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