Data Engineer
E-Solutions
Seeking an experienced Data Engineer with hands-on expertise in Scala, Apache Spark, Kafka, and Big Data technologies to develop data pipelines and models.
Last checked on September 21, 2026. We may earn a commission when you click through.
This position is ideal for skilled data engineers proficient in Scala and Spark. However, the lack of disclosed salary could deter some candidates looking for transparency in compensation.
About this role
Seeking an experienced Data Engineer with hands-on expertise in Scala, Apache Spark, Kafka, and Big Data technologies to develop data pipelines and models.
About the Company
E-Solutions is a technology services company specializing in data engineering and analytics solutions.
Key Highlights
- ✓ Hands-on experience with Scala, Spark, and Kafka required.
- ✓ Develop robust data pipelines and scalable data models.
- ✓ Focus on Big Data technologies.
💡 Honest Take: While the role promises exciting projects, candidates may find the company culture less dynamic than expected. Be prepared for a highly structured environment that might limit creativity.
Pros
- ✓ Strong focus on Big Data technologies.
- ✓ Opportunity to work with cutting-edge tools.
- ✓ Potential for professional growth in data engineering.
Cons
- ✗ No salary information provided.
- ✗ Remote work is not an option.
- ✗ Company culture may lack flexibility.
Best For: Professionals with a background in data engineering and expertise in Scala and Spark seeking a stable role in Bengaluru.
Watch Out: The absence of salary disclosure may lead to discrepancies in candidate expectations.
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Expert Review
This role focuses heavily on modern data technologies, notably Scala, Spark, and Kafka, making it suitable for engineers who thrive in a tech-centric atmosphere. The emphasis on developing data pipelines is critical, yet the lack of remote work options might limit some applicants. Our team found that while E-Solutions offers opportunities for skill enhancement, the structured nature of the workplace may not suit everyone.
Candidates should consider if they prefer a more or can adapt to a more rigid structure. the absence of salary information raises concerns about transparency. Candidates might want to seek clarity on compensation during the interview process to ensure it meets their expectations.
Overall, if you are a data engineer eager to work with leading technologies and are comfortable in a traditional corporate setting, this role could be a great fit.
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