We are seeking a highly skilled and experienced Senior Big Data Developer to join our team in Bangalore / Hyderabad / Chennai. The ideal candidate will have a strong background in software development with a focus on large-scale, data-centric applications. You will work with cutting-edge technologies in the Hadoop ecosystem, including Spark, Scala, Hive, and Go, and be responsible for designing and implementing scalable data pipelines in both real-time and batch processing environments.

Key Responsibilities:

Design, develop, and optimize big data pipelines using Spark, Scala, and Hive
Leverage Core Java and Go to build robust data processing applications
Work with large-scale datasets in real-time and batch mode
Implement automation for data ingestion, job execution, and validation
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
Ensure adherence to data security protocols within the Hadoop ecosystem
Apply best practices in CI/CD, version control, and issue tracking
Contribute to the design and architecture of data platforms
Document technical solutions and processes clearly and concisely

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Information Systems, or a related technical discipline (Advanced degree preferred)
6 to 10 years of experience in software development with a strong focus on data-centric applications
At least 4+ years of hands-on experience working with Hadoop ecosystem, Apache Spark, Scala, Hive, Core Java, Go programming language
Strong knowledge of Hadoop ecosystem security
Solid understanding of database concepts and data modeling
Experience in automating job execution and validation processes
Proficiency in CI/CD processes, version control (e.g., Git), and bug tracking tools (e.g., JIRA)
Expertise in Object-Oriented Programming and best practice software development methodologies

Python, Spark Scala Developer

BigData Developer (with Scala & Spark) - Immediate Joiners