Big Data Engineer

1 month ago


ChennaiPune, India Pan Asia Man power Consultants Recruiting agency Full time

Job Title : Big Data Engineer

Experience Range : 6+ Years

Location : Chennai/Pune (Hybrid - 2 Days Work From Office in a Week)

Job Description :

We are seeking a skilled Big Data Engineer to join our Agile team and contribute to building backend data applications and services that support our analytics platforms. This role requires a hands-on developer with expertise in various technologies to drive our data initiatives.

Key Responsibilities :

- Function as a core team member within Agile teams to design, develop, and maintain backend data applications and services.

- Collaborate with product owners and team members to gather requirements and discuss implementation strategies for addressing business needs and challenges.

- Partner with business resources to troubleshoot data-related issues, manage capacity, and optimize environments for performance and expansion.

- Participate in cloud migration efforts, utilizing basic knowledge of AWS.

Required Skills :

Scala :


- Strong proficiency in Scala for building scalable data applications.

Spark :


- Expertise in Apache Spark for processing large datasets efficiently.

Python :


- Experience in Python for data manipulation and analytics.

Shell Scripting :


- Proficient in shell scripting for automation and task scheduling.

AWS :


- Basic knowledge of AWS services for cloud integration and migration.

Additional Skills (Preferred) :

Jenkins :


- Experience with Jenkins pipelines for continuous integration and deployment.

Autosys :


- Familiarity with Autosys scheduling tool for job scheduling and management.

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Proven experience in big data technologies and frameworks.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

Why Join Us ?

- Work with a dynamic and innovative team.

- Opportunity to contribute to cutting-edge analytics projects.

- Flexible work environment with a hybrid model.

(ref:hirist.tech)
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