Job Title: Senior Pentaho ETL and Snowflake Consultant
Location: Jersey City, NJ
Duration: Long Term
Job Summary:
We are seeking a Senior Pentaho ETL and Snowflake Consultant with 5 to 9 years of experience to join our team.
The ideal candidate will have expertise in ETL Tool - Pentaho, Data Lake Concepts, Snowflake, Dataiku, and MongoDB.
This hybrid role requires a strong technical background and the ability to work in a dynamic environment.
The position offers the opportunity to make a significant impact on our data management and analytics initiatives.
Experience: 10Yrs
Required Skills: Snowflake, Dataiku, ETL Tool - Pentaho, MongoDB, Data Lake Concepts
Responsibilities:
Lead the design and implementation of ETL processes using Pentaho to ensure efficient data integration and transformation.
Oversee the development and maintenance of data lakes to support large-scale data storage and analysis.
Provide expertise in Snowflake to optimize data warehousing solutions and improve data accessibility. - Utilize Dataiku to develop and deploy data science workflows and machine learning models.
Manage MongoDB databases to ensure data integrity, performance, and scalability.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Conduct data analysis to identify trends, patterns, and insights that drive business decisions. - Ensure data quality and consistency across all data sources and systems.
Develop and maintain documentation for data processes, workflows, and system configurations. - Provide technical support and troubleshooting for data-related issues.
Stay updated with the latest industry trends and technologies to continuously improve data solutions. - Mentor and guide junior team members to enhance their technical skills and knowledge.
Communicate effectively with stakeholders to present findings and recommendations.
Qualifications:
Possess strong expertise in ETL Tool - Pentaho for designing and implementing data integration processes.
Have in-depth knowledge of Data Lake Concepts to manage large-scale data storage solutions.
Demonstrate proficiency in Snowflake for optimizing data warehousing and improving data accessibility.
Utilize Dataiku to develop and deploy data science workflows and machine learning models.
Manage MongoDB databases to ensure data integrity, performance, and scalability.
Exhibit strong analytical skills to identify trends and insights from data.
Show excellent communication skills to effectively present findings and recommendations.
Have a proactive approach to staying updated with the latest industry trends and technologies.
Mentor and guide junior team members to enhance their technical skills and knowledge.
Collaborate with cross-functional teams to understand and meet data requirements.
Ensure data quality and consistency across all data sources and systems.
Develop and maintain comprehensive documentation for data processes and workflows.
Provide technical support and troubleshooting for data-related issues