Senior Data Engineer (Java/Spark)
Senior Data Engineer (Java/Spark)
Posted 4 days ago
SENIORITY
Lead
About the role
- You have expert-level technical skills and a proven record of accomplishment of building data pipelines using Spark, Hive, Kafka that are highly scalable, performant, and reliable.
- You have expert-level coding skills in Python, JAVA, Spring, API design, Kafka, databases (SQL, no-SQL)
- You are skilled in data modeling & data migration protocols
- You have experience with Trino, Big Query, Apache PinotYou have experience with data integration tools like Automic, or Airflow
- You are experienced in public cloud computing platforms (e.g., GCP)
- You are experienced in Gen AI Ecosystem in Agentic Frameworks
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
