Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with solid backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

- Build and maintain scalable ETL/ELT and data processing pipelines.
- Develop backend services and APIs using Java (preferred), Python, or Go.
- Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
- Optimize SQL queries, data models, and distributed data systems.
- Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
- Implement CI/CD, monitoring, logging, and performance optimization.
- Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

- SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
- SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
- Strong coding skills in Java (preferred), Python, or Go.




- Excellent SQL and data modeling knowledge.
- Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
- Experience building scalable backend services and APIs.
- Good understanding of distributed systems, system design. and scalable architecture.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of CI/CD pipelines.
- Excellent problem-solving and debugging skills.

Good to Have :

- Experience with Snowflake, BigQuery, or Redshift.
- Understanding of Kafka, Kinesis, or Pub/Sub
- Performance optimization of large-scale distributed systems
- FinTech or high-scale distributed systems experience.
- Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

- Strong Backend + Data Engineering experience
- Experience building scalable production systems
- Strong ownership mindset
- Good system design knowledge
- Experience processing millions of events using Kafka/Spark
- Built APIs supporting data infrastructure
- Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Skills:- Data Platform Engineer, Java, Python, SQL, Data engineering, ETL, ELT, Apache Airflow, Apache Spark, Apache Flink, Apache Kafka, Amazon Web Services (AWS), Distributed Systems, API Development, Docker, Kubernetes, CI/CD and Systems design

📌 Data Platform Engineer (SDE 2 / SDE 3) (Pune)
🏢 NeogenCode Technologies
📍 Pune