What are the responsibilities and job description for the Pyspark Tech Lead position at Interon IT Solutions LLC?
Job Details
Job Summary:
We are seeking a Pyspark Technical Lead with 7 to 11 years of experience to join our team. The ideal candidate will have expertise in Pyspark, Cloudera HUE, Cloudera Data Platform, Apache Iceberg, Spark. This role involves working in a hybrid model with day shifts. The candidate will play a crucial role in driving our research and development initiatives, leveraging their technical skills to deliver impactful solutions.
We are seeking a Pyspark Technical Lead with 7 to 11 years of experience to join our team. The ideal candidate will have expertise in Pyspark, Cloudera HUE, Cloudera Data Platform, Apache Iceberg, Spark. This role involves working in a hybrid model with day shifts. The candidate will play a crucial role in driving our research and development initiatives, leveraging their technical skills to deliver impactful solutions.
Experience :7t011yrs
Required Skills: Cloudera HUE, PySpark, Spark Pyspark, Cloudera Data Platform, Apache Iceberg
Required Skills: Cloudera HUE, PySpark, Spark Pyspark, Cloudera Data Platform, Apache Iceberg
Responsibilities:
Lead the design and implementation of data solutions using Cloudera HUE and Cloudera Data Platform
Supervise the integration of Apache Iceberg and Spark into existing data workflows
Provide technical guidance and mentorship to junior team members on PySpark best practices
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
Ensure data quality and integrity through meticulous testing and validation processes
Develop and maintain documentation for data architectures and workflows
Optimize data processing pipelines for performance and efficiency
Conduct code reviews to ensure alignment to coding standards and best practices
Solve and resolve complex technical issues related to data processing
Stay updated with the latest advancements in data technologies and incorporate them into projects
Drive innovation by exploring new tools and techniques in the research and development domain
Communicate effectively with stakeholders to gather requirements and provide project updates
Contribute to the overall success of the company by delivering high-quality data solutions that drive business value
Lead the design and implementation of data solutions using Cloudera HUE and Cloudera Data Platform
Supervise the integration of Apache Iceberg and Spark into existing data workflows
Provide technical guidance and mentorship to junior team members on PySpark best practices
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
Ensure data quality and integrity through meticulous testing and validation processes
Develop and maintain documentation for data architectures and workflows
Optimize data processing pipelines for performance and efficiency
Conduct code reviews to ensure alignment to coding standards and best practices
Solve and resolve complex technical issues related to data processing
Stay updated with the latest advancements in data technologies and incorporate them into projects
Drive innovation by exploring new tools and techniques in the research and development domain
Communicate effectively with stakeholders to gather requirements and provide project updates
Contribute to the overall success of the company by delivering high-quality data solutions that drive business value
Qualifications
Possess strong expertise in Cloudera HUE and Cloudera Data Platform
Demonstrate proficiency in Apache Iceberg and Spark
Have extensive experience with PySpark for data processing
Show a solid understanding of data architecture and data engineering principles
Exhibit excellent problem-solving skills and attention to detail
Have a background in research and development is a plus
Display strong communication and collaboration skills
Be able to work effectively in a hybrid work model
Have a proactive approach to learning and staying current with industry trends
Be capable of mentoring and guiding junior team members
Demonstrate the ability to deliver high-quality solutions within deadlines Show a commitment to continuous improvement and innovation
Possess a strong sense of ownership and accountability for project outcomes.
Possess strong expertise in Cloudera HUE and Cloudera Data Platform
Demonstrate proficiency in Apache Iceberg and Spark
Have extensive experience with PySpark for data processing
Show a solid understanding of data architecture and data engineering principles
Exhibit excellent problem-solving skills and attention to detail
Have a background in research and development is a plus
Display strong communication and collaboration skills
Be able to work effectively in a hybrid work model
Have a proactive approach to learning and staying current with industry trends
Be capable of mentoring and guiding junior team members
Demonstrate the ability to deliver high-quality solutions within deadlines Show a commitment to continuous improvement and innovation
Possess a strong sense of ownership and accountability for project outcomes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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