Big Data Developer Job in Bangalore (3–5 Years) – Hadoop, Spark, Scala | Apply Now
Big Data Developer Hiring in Bangalore (3–5 Years) – Hadoop, Spark, Scala
Posted by JobsForAll
🏢 Company Overview
Mphasis is a leading IT solutions provider known for delivering innovative cloud and cognitive services to global clients. The company focuses on next-generation technologies such as big data, AI, and digital transformation, offering strong career growth opportunities for tech professionals.
📌 Job Summary
This Big Data Developer role is ideal for professionals with strong expertise in Hadoop, Spark, and Scala. You will be working on large-scale data processing systems, building efficient data pipelines, and contributing to enterprise-level analytics solutions.
💭 JobsForAll Note: If you are aiming for a career in data engineering and big data technologies, this role offers solid hands-on exposure to high-demand tools like Spark and Hadoop.
🎯 Eligibility Criteria
- 3–5 years of experience in Big Data or Data Engineering
- Strong knowledge of Hadoop ecosystem
- Hands-on experience with Spark and Scala
- Ability to work in a collaborative team environment
💼 Key Responsibilities
- Develop and maintain scalable data pipelines
- Process large datasets using Hadoop and Spark
- Write efficient and optimized Scala-based applications
- Collaborate with cross-functional teams for data solutions
- Ensure performance, quality, and reliability of data systems
🛠️ Required Skills
- Hadoop ecosystem
- Spark & Scala
- Data processing and pipeline design
- Strong problem-solving skills
⭐ Nice to Have
- Knowledge of Git version control
- Understanding of JSON data structures
📊 Job Details
| Company | Mphasis |
|---|---|
| Role | Big Data Developer |
| Experience | 3 – 5 Years |
| Location | Bangalore (Mahadevpura Office) |
| Work Mode | Hybrid (2 Days Office) |
| Interview Mode | Face-to-Face |
| Job Type | Full-Time |
Apply Now – Official Link
🚀 Selection Process
- Resume Screening
- Technical Interview (Big Data & Coding)
- Face-to-Face Discussion at Office
- HR Round
📈 Who Should Apply for this Post
- Data Engineers and Big Data Developers
- Professionals experienced in Hadoop and Spark
- Candidates looking to grow in data engineering domain
⚠️ Who Should Not Apply
- Freshers without experience
- Candidates without Big Data exposure
💰 Compensation Note
Salary is not disclosed, but based on industry standards, candidates can expect a competitive package ranging between ₹8–18 LPA depending on experience and skillset.
❓ FAQs
Is this job suitable for freshers?
No, this role requires 3–5 years of experience in Big Data technologies.
What are the key skills required?
Hadoop, Spark, Scala, and data engineering fundamentals.
Is remote work available?
This role follows a hybrid model with office presence required.
What is the interview process?
Includes technical evaluation and face-to-face interview rounds.
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