Data Architect
7 days ago
About the job
Job Summary:
We are seeking a highly skilled Data Architect/Sr Data Engineer with experience on MS Azure or Cloudera platform.
Hands on experience on Dataiku is must with at least 1 engagement and an overall 10+ years of experience in data engineering, ETL, and analytics solutions.
The ideal candidate will be responsible for designing, developing, and optimizing data workflows, pipelines, and models using Dataiku DSS, ensuring efficient data processing and insightful analytics.
Key Responsibilities:
Data Strategy & Development:
- Lead and execute data-driven projects, ensuring high-quality design and deployment.
- Design and implement scalable data models and pipelines for advanced analytics.
Dataiku & Analytics Solutions:
- Leverage Dataiku DSS for data preparation, machine learning model building, and workflow automation.
- Identify trends, correlations, and key business drivers using Dataiku, SQL, Python/R, and visualization tools
- Optimize Dataiku pipelines for improved efficiency and performance.
- Deploy and monitor machine learning models within Dataiku.
Business Collaboration & Reporting :
- Work closely with stakeholders to define business problems and translate them into analytical solutions.
- Develop interactive dashboards & reports using BI tools (Power BI, Tableau, etc.
- Present findings and recommendations to senior leadership.
Team Leadership & Best Practices :
- Mentor and guide junior analysts, fostering a data-driven culture.
- Define and promote best practices in data governance, ETL, and quality assurance.
- Stay updated on industry trends and emerging technologies in data analytics.
Required Skills & Qualifications :
- 10+ years of experience in data analytics, business intelligence, and devops support to data science teams.
- 1+ years of hands-on experience with Dataiku DSS, including workflows, automation, and model deployment.
- Proficiency in SQL for querying and managing large datasets.
- Strong programming skills in Python/R for data manipulation and analysis.
- Experience with data visualization tools like Power BI, Tableau, or Looker.
- Solid understanding of data modeling, ETL processes, and machine learning concepts.
- Excellent problem-solving skills and business acumen.
- Strong communication skills to collaborate with technical and non-technical teams.
Nice-to-Have Skills :
- Experience with MS Azure platform & Cloudera
- Knowledge of MLOps and productionizing ML models.
- Familiarity with automation and data governance best practice
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