4+ Cloudera Jobs in Mumbai | Cloudera Job openings in Mumbai

Experience: 12-15 Years

Key Responsibilities: 

• Client Engagement & Requirements Gathering: Independently engage with client stakeholders to
• understand data landscapes and requirements, translating them into functional and technical specifications.
• Data Architecture & Solution Design: Architect and implement Hadoop-based Cloudera CDP solutions,
• including data integration, data warehousing, and data lakes.
• Data Processes & Governance: Develop data ingestion and ETL/ELT frameworks, ensuring robust data governance and quality practices.
• Performance Optimization: Provide SQL expertise and optimize Hadoop ecosystems (HDFS, Ozone, Kudu, Spark Streaming, etc.) for maximum performance.
• Coding & Development: Hands-on coding in relevant technologies and frameworks, ensuring project deliverables meet stringent quality and performance standards.
• API & Database Management: Integrate APIs and manage databases (e.g., PostgreSQL, Oracle) to support seamless data flows.
• Leadership & Mentoring: Guide and mentor a team of data engineers and analysts, fostering collaboration and technical excellence.

Skills Required:

• a. Technical Proficiency:
• • Extensive experience with Hadoop ecosystem tools and services (HDFS, YARN, Cloudera
• Manager, Impala, Kudu, Hive, Spark Streaming, etc.).
• • Proficiency in programming languages like Spark, Python, Scala and a strong grasp of SQL
• performance tuning.
• • ETL tool expertise (e.g., Informatica, Talend, Apache Nifi) and data modelling knowledge.
• • API integration skills for effective data flow management.
• b. Project Management & Communication:
• • Proven ability to lead large-scale data projects and manage project timelines.
• • Excellent communication, presentation, and critical thinking skills.
• c. Client & Team Leadership:
• • Engage effectively with clients and partners, leading onsite and offshore teams.

Key Responsibilities:

• Install, configure, and maintain Hadoop clusters.

• Monitor cluster performance and ensure high availability.

• Manage Hadoop ecosystem components (HDFS, YARN, Ozone, Spark, Kudu, Hive).

• Perform routine cluster maintenance and troubleshooting.

• Implement and manage security and data governance.

• Monitor systems health and optimize performance.

• Collaborate with cross-functional teams to support big data applications.

• Perform Linux administration tasks and manage system configurations.

• Ensure data integrity and backup procedures.

Requirements:

• Proficiency in shell scripting.
• Proficiency in automation of tasks.
• Proficiency in Pyspark/Python.
• Proficiency in writing and understanding of sqoop.
• Understanding of Cloud Era manager.
• Good understanding of RDBMS.
• Good understanding of Excel.
• Familiarity with Hadoop ecosystem and its components.
• Understanding of data loading tools such as Flume, Sqoop etc.
• Ability to write reliable, manageable, and high-performance code.
• Good knowledge of database principles, practices, structures, and theories.

• Proficiency in shell scripting
• Proficiency in automation of tasks
• Proficiency in Pyspark/Python
• Proficiency in writing and understanding of sqoop
• Understanding of CloudEra manager
• Good understanding of RDBMS
• Good understanding of Excel