Data Engineer Jobs in Bengaluru | AWS, PySpark, Airflow – Apply Online
Data Engineer Jobs in Bengaluru (5–10 Years Experience)
Posted by Jobs for All
Company Overview
The hiring organization is a leading technology-driven enterprise delivering large-scale digital, analytics, and cloud solutions to global clients. The team focuses on building reliable, scalable, and high-performance data platforms that support enterprise analytics, reporting, and business intelligence.
Job Summary
The company is hiring an experienced Data Engineer to design, build, and optimize enterprise-grade data pipelines. This role involves working with cloud-based data platforms, distributed processing frameworks, and orchestration tools to support data-driven decision-making across the organization.
💭 Jobs for All Note: This role is best suited for professionals who enjoy building robust data infrastructure, optimizing performance at scale, and working deeply with cloud and big data technologies.
Eligibility Criteria
- Bachelor’s degree in Engineering or a related technical discipline
- 5–10 years of hands-on experience in data engineering or data platform development
- Strong programming skills in Python for data processing and automation
- Experience working with cloud-based data solutions and large datasets
Job Details
| Job Title | Data Engineer |
|---|---|
| Location | Bengaluru, India |
| Experience | 5 – 10 Years |
| Job Function | Technology |
| Role | Consultant |
| Job ID | 392832 |
| Apply By | 31 March 2026 |
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for structured and semi-structured data
- Build and optimize ETL/ELT workflows using distributed data processing frameworks
- Develop data solutions using PySpark, Spark SQL, and Apache ecosystem tools
- Implement workflow orchestration using Apache Airflow (DAG design, scheduling, monitoring)
- Integrate cloud services to support data ingestion, storage, and analytics
- Ensure data quality through validation checks, logging, and monitoring mechanisms
- Collaborate with analytics, data science, and business teams to meet data requirements
- Continuously improve performance, reliability, and scalability of data platforms
Technical Skills & Tools
- Programming: Python
- Big Data: PySpark, Spark SQL, Kafka, Hive, HDFS
- Cloud: AWS (S3, Glue, EMR, Redshift, Athena, Lambda, IAM)
- Orchestration: Apache Airflow
- Data Formats: JSON, Parquet, Avro
- DevOps: Git, CI/CD pipelines, Infrastructure-as-Code concepts
- Data Modeling: Star & Snowflake schemas
Career Guidance & Growth
📈 Career Growth Path
Data Engineers in this role can progress into Senior Data Engineer, Data Architect, Cloud Data Platform Lead, or Engineering Manager roles. Experience with large-scale AWS data platforms significantly boosts long-term career prospects.
✅ Who Should Apply
- Experienced data engineers with strong Python and Spark expertise
- Professionals comfortable working with cloud-native data architectures
- Candidates looking to build long-term careers in data engineering and analytics platforms
❌ Who Should Not Apply
- Fresh graduates or professionals with less than 5 years of experience
- Candidates seeking purely BI, reporting, or non-technical roles
💰 Compensation & Benefits Note
The organization offers a competitive salary aligned with industry standards for senior data engineering roles. Compensation may include performance-based incentives and standard employee benefits, depending on experience and role level.
Apply & Safety Notice
Application Advisory: Candidates should apply only through the official employer portal. No fees are charged at any stage of the recruitment process. Avoid third-party agents requesting payments or personal financial information.
Apply Now – Official Application Link