This is a 12 weeks duration engagement. overlap work with US time zone

We are looking for experienced Data Engineers with 5+ years of experience, to join a 12-week engagement focused on building and supporting modern data engineering solutions. The ideal candidates should have strong hands-on experience across a broad range of data engineering technologies and be able to contribute with minimal ramp-up time.

Key Responsibilities
- Design, develop, and maintain scalable data engineering pipelines.
- Work with large-scale data processing and streaming technologies.
- Develop and optimize data pipelines using Apache Spark, Kafka, Airflow, and related technologies.
- Work with modern data lake and data warehouse technologies, including Apache Iceberg and Snowflake.
- Develop solutions using AWS cloud services.
- Write efficient and maintainable code using Java, Python, and SQL.
- Design and implement data models, including Star Schema designs.
- Troubleshoot, optimize, and improve data processing workflows and pipeline performance.




- Collaborate with technical teams to deliver data engineering solutions within defined timelines.

Required Skills & Experience
- 5+ years of professional experience in Data Engineering
- Robust hands-on experience with Apache Spark
- Experience with Apache Iceberg
- Experience with Apache Kafka
- Experience with Apache Airflow
- Experience with Snowflake
- Strong experience with AWS
- Proficiency in Java, Python, and SQL
- Strong understanding of Data Modeling and Star Schema Design
- Experience with Apache Flink is preferred

Candidates with hands-on experience across the majority of the required technology stack are strongly preferred. Candidates should be able to contribute independently with limited onboarding or ramp-up time. There may be some flexibility around Apache Flink experience for candidates who demonstrate strong expertise across the other core technologies. Candidates with strong experience across modern data engineering,

📌 Data Engineer – Apache Spark, Iceberg (Vapi)
🏢 Applicantz
📍 Vapi