Hadoop Developer

9 hours ago


bangalore, India Tata Consultancy Services Full time

TCS is HiringGreetings from TCSTCS presents an excellent opportunity for Data EngineerRole: Hadoop DeveloperDesired Experience Range: 5-10 YearsLocation: Chennai/BangaloreDesired Competencies (Technical/Behavioral Competency)Must Have-Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks. Expertise in SQL and NoSQL databases Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams. In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, and Snowflake for building and managing data warehouses. Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or Informatica. Good to have-Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services. Strong understanding of data modeling concepts and techniques to create efficient and scalable data models. Experience with version control systems such as Git for code management and collaboration. Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information Roles and Responsibilities-Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility. Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data. Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle. Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.



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