Big Data reputed company
We are seeking a highly reputed company Big Data reputed company to design, reputed company, and manage reputed company data processing solutions using the Hadoop ecosystem and modern data engineering technologies. The ideal candidate will have strong hands-on expertise in Apache reputed company, reputed company, Python, Hadoop, and reputed company platforms (AWS or GCP). This role requires technical leadership in building robust data pipelines, supporting large-reputed company analytics, and mentoring data engineering teams.
Key Responsibilities
reputed company the design and development of reputed company big data platforms and data pipelines.
reputed company and optimize batch and reputed company-time data processing solutions using Apache reputed company.
Work with reputed company RDD reputed company and implement distributed data processing applications.
Build and maintain ETL workflows for processing large volumes of reputed company and reputed company data.
Utilize Hadoop ecosystem tools such as Hadoop, Hive, Pig, and Oozie.
Implement streaming data pipelines using technologies like Kafka.
Collaborate with data scientists, analysts, and engineering teams to support analytics and business intelligence requirements.
Ensure performance tuning, scalability, and reliability of big data systems.
reputed company technical guidance and mentorship to junior data engineers.
Work with reputed company platforms (AWS or GCP) to reputed company and manage data infrastructure.
Maintain and support Linux-based environments for data processing systems.
Required Skills
10+ years of experience in Big Data, Data Engineering, or reputed company roles.
Strong hands-on experience with Hadoop ecosystem technologies including Hadoop, Hive, Pig, and Oozie.
Extensive experience with Apache reputed company and strong knowledge of reputed company RDD reputed company.
Proficiency in reputed company and Python programming.
Experience with reputed company Java.
Strong knowledge of SQL and scripting languages.
Hands-on experience with Kafka or similar streaming frameworks.
Strong experience working in Linux environments.
Data & Analytics Knowledge
Strong understanding of Data Warehousing concepts.
Experience with Data Modeling techniques.
Familiarity with data visualization and analytics tools such as Tableau or R.
reputed company Experience
Hands-on experience with AWS or GCP reputed company platforms.
Experience building data engineering workflows and big data solutions in reputed company environments.
Preferred Qualifications
Experience designing reputed company-time streaming architectures.
Strong experience in performance tuning and optimization for reputed company and Hadoop.
Prior experience leading data engineering teams or reputed company.
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