▷ [3 Days Left] Dataiku Specialist
2 weeks ago
Experience: 4-8 years
Location: PAN India
Department: Data Science & Analytics
Type: Full-time
Job Summary:
We are seeking a Dataiku Specialist with 4-8 years of experience in Dataiku, SQL and data analysis, who will play a key role in leveraging the Dataiku platform to create end-to-end data science workflows, develop machine learning models, and manage data pipelines. As part of our data team, you will collaborate with cross-functional teams to build scalable, efficient, and automated data solutions. Your contributions will directly impact the company's ability to extract actionable insights from data and drive data-driven decision-making.
Key Responsibilities:
- Data Analysis & Exploration: Analyze large datasets to uncover trends, correlations, and patterns that provide business value, using Dataiku for data wrangling, exploration, and visualization.- Data Pipeline Development: Develop and maintain end-to-end data pipelines on the Dataiku platform, including ETL processes (Extract, Transform, Load) for automated data flows from multiple sources.- Machine Learning & Model Building: Create, train, and deploy machine learning models in Dataiku for predictive analytics, classification, clustering, and forecasting tasks.- Model Deployment & Monitoring: Automate the deployment of machine learning models into production environments, ensuring they are scalable, reliable, and continuously monitored.- Automation & Optimization: Leverage Dataiku to automate data preparation, analysis, and reporting processes, streamlining workflows to improve operational efficiency.- Data Governance: Ensure the integrity, security, and quality of data by following best practices for data governance and compliance within Dataiku.- Documentation & Reporting: Document workflows, methodologies, and model outcomes to ensure transparency, reproducibility, and effective communication with stakeholders.- Dataiku Integration: Integrate Dataiku with other tools and systems such as cloud platforms (e.g., AWS, Google Cloud, Azure), APIs, and databases to ensure seamless data operations.
Requirements:
Experience:
1.
Proven experience working with Dataiku for data processing, model development, and automation of workflows.2.
Strong experience with ETL processes and data pipelines.3.
Experience building and deploying machine learning models (supervised and unsupervised).4.
Familiarity with cloud-based data environments (e.g., AWS, GCP, Azure).5.
Proficiency in programming languages such as Python or R.6.
Hands-on experience with SQL and querying relational databases (e.g., MySQL, PostgreSQL, SQL Server).7.
Experience with version control tools like Git.
Skills:
1.
Strong analytical and problem-solving skills.2.
Ability to work with large, complex datasets and turn them into actionable insights.3.
Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.4.
Familiarity with data visualization tools like Tableau, Power BI, or Dataiku’s built-in visualization tools.5.
Experience with data integration, working with APIs, flat files, and other data sources.
Preferred:
1.
Familiarity with advanced data science topics, including deep learning or natural language processing (NLP).2.
Experience with containerization (e.g., Docker) or orchestration frameworks (e.g., Airflow).3.
Experience with data streaming technologies (e.g., Kafka, Spark Streaming).4.
Familiarity with data governance frameworks and practices.
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.
How to Apply:
Please submit your resume and cover letter to with the subject line "Dataiku Specialist Application."
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