Job highlights

- Experience with relational SQL and / or NoSQL databases: MySql,Postgres,MongoDB and Cassandra
- Experience using AI-powered development tools (e.g.,GitHub Copilot,Cursor etc ) . You are well versed with modern software development practices (Agile,TDD,CI / CD) .
- Strong object oriented or functional programming skills in: Java / Python/Scala (experience with anyone of these) .

Data Engineer is responsible for the development of high performance, distributed computing tasks using technologies - Apache Spark, Apache Flink, Kafka, SQL/NoSQL database and other distributed environment technologies based on the needs of the organization. The Data Engineer is also responsible for analysing, designing, programming, debugging and modifying software enhancements and/or new products used in distributed, large-scale analytics solutions.

What youll do:

Key Responsibilities

As a Data Engineer, we expect you to solve real-life complex problems and build analytics platform that supports broad range of analytical/machine learning requirements. Create prototypes and proof-of-concepts for iterative development. You are keen to learn new technologies and apply the knowledge in building scalable/robust production systems.

What you need to bring:

- B.E/B.Tech/M.E/M.Tech
- 3 - 5 Years of experience as Data/Backend Engineer.




- Robust object oriented or functional programming skills in: Java/Python/Scala (experience with anyone of these)
- Experience working in a technical environment with tools like Spark, Flink, Storm, Kafka, Elastic Search etc.
- Have knowledge on AWS cloud services: EC2, S3, EMR, RDS, Redshift, Lambda, Step functions. (Good to have)
- Exposure to stream-processing systems like Spark-Streaming, Flink, Kafka Streams etc.
- Experience with relational SQL and/or NoSQL databases: MySql, Postgres, MongoDB and Cassandra.
- Experience with data pipeline orchestrating tools: Airflow, Luigi etc. (Good to have)
- Experience using AI-powered development tools (e.g., GitHub Copilot, Cursor etc )
- You are well versed with modern software development practices (Agile, TDD, CI/CD)
- Knowledge of Software Engineering best practices with experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system.

Good to have/Added advantage
- Prompt engineering and AI interaction skills
- Understanding of embeddings and vector databases (e.g., semantic search concepts)

Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

📌 Data Engineer (Bengaluru)
🏢 Hewlett Packard Enterprise
📍 Bengaluru