Job Description

Role:

Big Data Engineer (Fresher)

Experience:

0-1 Years

Location:

Chandigarh

Responsibilities

As an entry-level Big Data Engineer, you will work closely with experienced team members to help design, build, and maintain high-performance data solutions. You will assist in developing scalable pipelines, Spark-based processing jobs, and contribute to RESTful services that support data-driven products. This is a hands-on learning opportunity where you will be mentored and exposed to real-world Big Data technologies, DevOps practices, and collaborative agile teams.

Your key responsibilities will include:

Assisting in the design and development of data pipelines and streaming applications. Learning to work with distributed systems and Big Data frameworks. Supporting senior engineers in writing and testing code for data processing. Participating in code reviews, team discussions, and product planning sessions. Collaborating with cross-functional teams including product managers and QA.

Qualifications and Skills

Bachelor's degree in Computer Science, Engineering, or related field. Good understanding of core programming concepts (Java, Python, or Scala preferred). Familiarity with SQL and NoSQL databases. Basic knowledge of Big Data tools such as Spark, Hadoop, Kafka (academic/project exposure acceptable). Exposure to Linux/Unix environments. Awareness of Agile methodologies (Scrum, Kanban) and DevOps tools like Git. Curiosity to learn cloud platforms like AWS or GCP (certifications a plus). Willingness to learn about system security (Kerberos, TLS, etc.).

Nice to Have (Not Mandatory):

Internships, academic projects, or certifications related to Big Data. Contributions to open-source or personal GitHub projects. Familiarity with containerization (Docker, Kubernetes) or CI/CD tools.
Job Types: Full-time, Permanent

Pay: Up to ₹331,000.00 per year

Benefits:

Health insurance Provident Fund
Schedule:

Day shift Rotational shift
Supplemental Pay:

Performance bonus
Work Location: In person