Senior Big Data Engineer
Senior Big Data Engineer
Posted 8 days ago
SENIORITY
Senior
About the role
- Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of professional experience in data engineering, working with Java, Python, Spark, and big data technologies.
- Strong programming skills in Java and Python, with expertise in building scalable and maintainable code.
- Proven experience in Spark cluster management, optimization, and performance tuning.
- Solid understanding of data science concepts and experience working with data scientists and analysts.
- Proficiency in SQL and experience with relational databases (e.g., Snowflake, Delta Tables).Experience in designing and developing REST APIs using frameworks such as Flask or Spring.
- Familiarity with cloud-based data platforms (e.g. Azure)
- Experience with data warehousing concepts and tools (e.g., Snowflake, BigQuery) is a plus.
- Strong problem-solving and analytical skills, with the ability to tackle complex data engineering challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
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.
