Key Responsibilities:
- Design develop and optimize Big Data solutions using Apache Spark.
- Collaborate with crossfunctional teams to gather and analyze requirements.
- Build efficient scalable and reliable data pipelines for processing large datasets.
- Write clear maintainable and welldocumented code.
- Troubleshoot and resolve complex data processing issues.
Qualifications :
- Bachelors degree in Computer Science Software Engineering or a related field.
- Minimum of 5 years of handson experience in Apache Spark development.
- Proficiency in programming languages like Java Scala or Python.
- Strong understanding of distributed systems and parallel computing.
- Solid understanding of relational and NoSQL databases.
- Proven track record of building data pipelines and optimizing data processing workflows.
- Strong problemsolving skills and the ability to work in a fastpaced environment.
- Able to work with Linux environment efficiently.
Additional Information :
Desired Personality Characteristic:
- Independent learner.
- Independent worker and problemsolver.
- Professional verbal and written communication skills.
- Good level of English.
- Strong critical thinking and outofthebox thinking skills.
- Ability to work under pressure in a team setting as well as independently.
IMPORTANT:
Due to the high volume of applications we receive for our job openings all candidates are encouraged to write to us when applying why they think we should consider their application and why they think they are suitable for the job.
- It is highly recommended to answer the following screening question when filling the application: Kindly list the job skills you have that are relevant to the job qualifications/requirements stated in the job post.
- Remember to provide your scale 010 on each required qualification.
This would increase their chances of being interviewed.
Once a candidate applies for this job they should expect a phone call that will discuss their education details and experience their English level and some basic technical questions.
Good Luck!
Remote Work :
No
Employment Type :
Fulltime