Posted on: 09/07/2026
Data Engineer
Location : Bangalore, Mumbai, Pune, Gurgaon
Job Type : Full-Time
Experience : 2 - 8 Years
Notice Period : Immediate to 30 Days Preferred
About the Role :
We are looking for skilled Data Engineers to design, build, and maintain scalable data pipelines and modern data platforms. You will work with large-scale datasets, cloud technologies, and distributed data processing frameworks to enable data-driven decision-making across the organization.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines.
- Build and optimize ETL/ELT workflows for structured and unstructured data.
- Process large-scale datasets using distributed computing frameworks.
- Develop and manage data warehouses and data lakes.
- Ensure data quality, reliability, and security across platforms.
- Optimize data storage, query performance, and processing efficiency.
- Collaborate with Data Scientists, Analysts, and Software Engineers.
- Monitor and troubleshoot production data pipelines.
- Implement best practices for data governance and performance optimization.
Required Skills :
- Strong proficiency in SQL
- Hands-on experience with Apache Spark
- Experience with Apache Kafka
- Knowledge of Snowflake
- Experience with ETL/ELT development
- Understanding of data warehousing concepts
- Familiarity with relational and NoSQL databases
- Strong problem-solving and analytical skills
- Experience with Git and Linux environments
Preferred Skills :
- Python or Scala
- Airflow or Azure Data Factory
- AWS, Azure, or GCP
- Hadoop ecosystem
- Docker & Kubernetes
- Delta Lake or Apache Iceberg
- CI/CD for data engineering
- Data modeling and optimization
- Agile/Scrum development methodology
Eligibility :
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field
- 2 - 8 years of relevant Data Engineering experience
- Strong communication and teamwork skills
- Immediate to 30-day notice period preferred
Benefits :
- Competitive salary package
- Opportunity to work on enterprise-scale data platforms
- Career growth and learning opportunities
- Collaborative and innovative work environment
- Exposure to cloud-native data technologies
- Health and employee benefits
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1652777