Company Overview

Viraaj HR Solutions is dedicated to delivering top-tier HR services and talent acquisition strategies to help companies throughout India thrive. Our mission is to connect skilled professionals with excellent opportunities, fostering a culture of collaboration, integrity, and innovation. We pride ourselves on understanding the unique needs of both our clients and candidates, ensuring a perfect fit for every role. At Viraaj HR Solutions, we prioritize our people's growth and development, making us a dynamic and rewarding workplace.

Role Responsibilities

• Design and implement scalable Big Data solutions using Hadoop technologies.
• Develop and maintain ETL processes to manage and process large data sets.
• Collaborate with data architects and analysts to gather requirements and deliver solutions.
• Optimize existing Hadoop applications for maximizing efficiency and performance.
• Write, test, and maintain complex SQL queries to extract and manipulate data.
• Implement data models and strategies that accommodate large-scale data processing.
• Conduct data profiling and analysis to ensure data integrity and accuracy.
• Utilize MapReduce frameworks to execute data processing tasks.
• Work closely with data scientists to facilitate exploratory data analysis.
• Ensure compliance with data governance and privacy regulations.
• Participate in code reviews and maintain documentation for all development processes.
• Troubleshoot and resolve performance bottlenecks and other technical issues.
• Stay current with technology trends and tools in Big Data and Cloud platforms.
• Train junior developers and assist in their professional development.
• Contribute to team meeting discussions regarding project status and ideas for improvement.
  
  

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience as a Big Data Developer or similar role.
• Strong foundational knowledge of the Hadoop ecosystem (HDFS, Hive, Pig, etc.).
• Proficient in programming languages such as Java, Python, or Scala.
• Experience with database management systems (SQL and NoSQL).
• Familiar with data processing frameworks like Apache Spark.
• Understanding of data pipeline architectures and data integration techniques.
• Knowledge of cloud computing services (AWS, Azure, or Google Cloud).
• Exceptional problem-solving skills and attention to detail.
• Strong communication skills and ability to work in a team environment.
• Experience with data visualization tools (Tableau, Power BI, etc.) is a plus.
• Ability to work under pressure and meet tight deadlines.
• Adaptability to new technologies and platforms as they emerge.
• Certifications in Big Data technologies would be an advantage.
• Willingness to learn and grow in the field of data sciences.
  
  

Skills: data visualization,spark,java,cloud computing (aws, azure, google cloud),sql proficiency,apache spark,data warehousing,data visualization tools,nosql,scala,python,etl,sql,hadoop,mapreduce,big data analytics,big data