Cloudera Data Engineer

Job Title: Senior Cloudera Data Engineer Location: India Job Type: Full-time Experience Level: Mid-Senior (8-9 years) Department: Data Engineering Job Summary: We are seeking a highly skilled and motivated Senior Cloudera Data Engineer with 8 to 9 years of experience to design, develop, and maintain data pipelines and infrastructure on the Cloudera platform. The ideal candidate will have a strong background in data engineering, hands-on experience with Cloudera tools, and a deep understanding of big data architectures alongside expertise on informatica toolset such as Informatica DEI, Informatica Powercentre. Key Responsibilities:

• Design, develop, and maintain scalable and robust data pipelines and ETL processes using Cloudera tools and frameworks (e.g., HDFS, Hive, Impala, HBase, Spark, Flink).
• Design, development , and implementation of complex ETL processes using Informatica PowerCenter.
• Utilize Informatica DEI for integrating, transforming, and managing large volumes of data across various data platforms, including Hadoop, Spark, and other big data technologies.
• Collaborate with data architects, data scientists, and business stakeholders to understand requirements and deliver solutions that meet their needs.
• Optimize and tune performance of data processing jobs, ensuring efficient resource usage and fast execution times.
• Implement and enforce best practices for data integration, data quality, data security, and governance.
• Monitor, troubleshoot, and resolve data pipeline and infrastructure issues promptly, ensuring high availability and reliability.
• Develop and maintain documentation related to data pipelines, processes, and infrastructure.
• Stay up to date with the latest industry trends, technologies, and best practices in big data and cloud computing.
• Provide technical guidance and mentorship to junior data engineers within the team.

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.
• 8-9 years of professional experience in data engineering, with a significant focus on Cloudera platforms.

• Strong hands-on experience with Cloudera tools and technologies such as Hadoop, Hive, Impala, HBase, Spark, Flink, and Kafka.
• Experience in Design, development , and implementation of complex ETL processes using Informatica PowerCenter.
• Experience in Utilizing Informatica DEI for integrating, transforming, and managing large volumes of data across various data platforms, including Hadoop, Spark, and other big data technologies.
• Proficiency in programming languages such as Python, Java, or Scala.
• Solid understanding of data modelling, data warehousing concepts, and big data architectures.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
• Proven track record of successfully designing and implementing large-scale data processing systems.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

• Experience with machine learning and data science workflows.
• Knowledge of SQL and NoSQL databases.
• Familiarity with DevOps practices and CI/CD pipelines.
• Industry certifications related to big data and Cloudera platforms.

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Professional development opportunities and educational reimbursement.
• Flexible work hours and remote work options.
• Inclusive and collaborative work environment.