Big Data Developer - Hadoop / HDFS ,Hive, SQL
Chennai, Tamil Nadu, India
Riskinsight Consulting
Responsibilities
- Design, develop, and deploy scalable Big Data applications using Hadoop ecosystem technologies (Hadoop, HDFS, Hive, etc.).
- Collaborate with data scientists and business analysts to understand requirements and translate them into technical solutions.
- Write efficient and optimized code to process and analyze large volumes of data.
- Implement data ingestion processes from various data sources to the Big Data platform.
- Create and maintain data pipelines and workflows for data processing and analytics.
- Perform data quality checks and ensure data integrity throughout the system.
- Troubleshoot and debug production issues to identify and resolve technical problems.
- Stay updated with the latest Big Data technologies and tools to drive innovation and improve performance.
- Collaborate with cross-functional teams to ensure seamless integration of Big Data applications with other systems.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4-6 years of experience in Big Data development using Hadoop ecosystem technologies (Hadoop, HDFS, Hive, etc.).
- Proficient in SQL for data querying and manipulation.
- Experience with data warehousing and relational databases.
- Hands-on experience with data integration and ETL processes.
- Strong understanding of distributed computing principles and frameworks.
- Experience with scripting languages such as Python or Shell scripting.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work independently and in a team environment.
- Proactive attitude towards learning and professional development.
Skills: Hadoop, HDFS, Hive, SQL, ETL, Python, Shell Scripting
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data pipelines Data quality Data Warehousing Engineering ETL Hadoop HDFS Pipelines Python RDBMS Shell scripting SQL
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