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Dataiku Sme Data Lead With Dataiku

  • ... Posted on: Sep 25, 2024
  • ... Connvertex Technologies Inc
  • ... Iselin, New Jersey
  • ... Salary: Not Available
  • ... Full-time

Dataiku Sme Data Lead With Dataiku   

Job Title :

Dataiku Sme Data Lead With Dataiku

Job Type :

Full-time

Job Location :

Iselin New Jersey United States

Remote :

No

Jobcon Logo Job Description :

Job Description :

We are seeking an experienced Data Lead / Dataiku SME to join our team. The ideal candidate will have a strong background in data analytics, with expert knowledge of the Dataiku platform. You will lead our data initiatives and collaborate with cross-functional teams to drive business value through data-driven insights.

Responsibilities:

  • Define and implement data strategies that align with organizational goals.
  • Lead the development and maintenance of scalable data pipelines and workflows within the Dataiku platform.
  • Ensure the integrity, availability, and confidentiality of data throughout the data lifecycle.
  • Collaborate with data scientists, engineers, and business stakeholders to understand data needs and deliver solutions.
  • Conduct data analysis to uncover insights, identify trends, and support decision-making processes.
  • Mentor team members on best practices in data management and utilization of Dataiku features.
  • Stay current with industry trends and developments in data analytics and Dataiku updates.
  • Manage data governance and compliance with relevant data protection regulations.

Qualifications:

  • Minimum of 10+ years of experience in a data-related role, with a focus on data analytics and management.
  • Proven expertise in Dataiku DSS, including building data pipelines, machine learning models, and dashboards.
  • Strong understanding of data warehousing, ETL processes, and database management.
  • Proficiency in SQL, Python, or other data manipulation languages.
  • Knowledge of data governance, data quality, and data security practices.
  • Excellent communication and leadership skills, with the ability to translate complex data concepts for non-technical stakeholders.
  • Experience with cloud data platforms (AWS, GCP, Azure) is a plus

Jobcon Logo Position Details

Posted:

Sep 25, 2024

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-17d7bc1f5df5d42481a798eeec3e785c3f7ba9ad18a29b70785b6068860b69e4

City:

Iselin

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Description :

We are seeking an experienced Data Lead / Dataiku SME to join our team. The ideal candidate will have a strong background in data analytics, with expert knowledge of the Dataiku platform. You will lead our data initiatives and collaborate with cross-functional teams to drive business value through data-driven insights.

Responsibilities:

  • Define and implement data strategies that align with organizational goals.
  • Lead the development and maintenance of scalable data pipelines and workflows within the Dataiku platform.
  • Ensure the integrity, availability, and confidentiality of data throughout the data lifecycle.
  • Collaborate with data scientists, engineers, and business stakeholders to understand data needs and deliver solutions.
  • Conduct data analysis to uncover insights, identify trends, and support decision-making processes.
  • Mentor team members on best practices in data management and utilization of Dataiku features.
  • Stay current with industry trends and developments in data analytics and Dataiku updates.
  • Manage data governance and compliance with relevant data protection regulations.

Qualifications:

  • Minimum of 10+ years of experience in a data-related role, with a focus on data analytics and management.
  • Proven expertise in Dataiku DSS, including building data pipelines, machine learning models, and dashboards.
  • Strong understanding of data warehousing, ETL processes, and database management.
  • Proficiency in SQL, Python, or other data manipulation languages.
  • Knowledge of data governance, data quality, and data security practices.
  • Excellent communication and leadership skills, with the ability to translate complex data concepts for non-technical stakeholders.
  • Experience with cloud data platforms (AWS, GCP, Azure) is a plus

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