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Big Data Developer - Scala/Apache Spark

GALAXY I TECHNOLOGIES INC
Multiple Locations
8 - 10 Years

Posted on: 22/12/2025

Job Description

Job Title : Big Data Developer


Work Location : Chennai, TN / Pune, MH / Mumbai, MH


Experience : 8- 10 Years in Big Data & Hadoop Ecosystem (Minimum 6+ years overall)


Employment Type : Contract 6 Months (Extendable)


Job Overview :


We are seeking an experienced Big Data Developer with strong expertise in the Hadoop ecosystem and hands-on experience in Scala, Spark, Hive, MapR, and Python. The ideal candidate will have a strong foundation in object-oriented programming, experience building enterprise-grade data solutions, and the ability to work effectively in a fast-paced environment.


This role focuses on developing, optimizing, and maintaining scalable big data processing solutions to support large-scale data analytics and business intelligence needs.


Key Responsibilities :


- Design, develop, and maintain big data applications using Scala and Apache Spark.


- Build and optimize data pipelines for batch and large-scale data processing.


- Work with the Hadoop ecosystem, including HDFS, Hive, Spark, and MapR.


- Develop and enhance enterprise-level software solutions following object-oriented design principles and patterns.


- Perform data transformations, aggregations, and validations to ensure data quality and consistency.


- Collaborate with data engineers, architects, and business teams to understand data requirements and deliver solutions.


- Conduct performance tuning and optimization of Spark jobs and Hive queries.


- Perform quick research and problem-solving using available resources to address technical challenges.


- Document technical designs, workflows, and development standards.


- Present technical information clearly and concisely to stakeholders and team members.


Must-Have Skills & Qualifications :


- 8- 10 years of experience in Big Data development (Minimum 6+ years overall experience).


- Strong proficiency in Scala (certification from an accredited institution is preferred).


- Hands-on experience with Apache Spark, Hive, HDFS, and MapR.


- Solid understanding of Object-Oriented Programming (OOP) concepts and design patterns.


- Experience building enterprise-scale software solutions.


- Strong analytical and problem-solving skills.


- Ability to quickly research, learn, and apply new concepts.


- Strong communication skills with the ability to present information clearly.


Good-to-Have / Preferred Skills :


- Basic knowledge of Java or other object-oriented programming languages.


- Experience with scripting languages such as Unix/Shell or Python.


- Exposure to data ingestion and processing workflows.


- Experience working in distributed computing environments


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Functional Area

Big Data / Data Warehousing / ETL

Job Code

1593557