BigData and Hadoop Developer

Job Description

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 Bachelors 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,

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