Mastek | Cloudera Data Engineer

11 hours ago

india Mastek Full time

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.

Qualifications:

  • 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 experience of working on support engagements for cloudera data platform

  • 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.

Preferred Skills:

  • 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.

Benefits:

  • 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.

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