Data Scientist III
Conduent · Bengaluru · onsite · Posted 37d ago
Undisclosed8–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Key Responsibilities
Data Platform & Architecture
- Design and implement scalable data architectures including data lakes and data warehouses using Azure ecosystem (e.g., Microsoft Fabric, ADLS).
- Define data models and storage strategies for structured and unstructured data.
Data Pipeline Development
- Build and manage end-to-end data pipelines (ETL/ELT) to ingest, transform, and serve large-scale datasets.
- Ensure reliability, performance, and scalability of data pipelines.
Analytics Enablement
- Develop and standardize analytics frameworks and reusable data models to support reporting, BI, and advanced analytics.
- Enable self-service analytics through curated datasets and semantic layers.
- AI/ML, Analytics & Storytelling: Working knowledge of machine learning techniques and analytics use cases, with the ability to operationalize models within data platforms. Strong capability in data storytelling , translating complex data into intuitive visualizations and actionable insights for business stakeholders.
Hands-on Technical Leadership
- Remain hands-on with tools such as Python, SQL, and MS Fabric for data processing and transformation.
- Guide the team on best practices in data engineering, modeling, and performance optimization.
Team & Delivery Management
- Lead and mentor a team of data engineers / analysts / data scientists.
- Drive project delivery across multiple initiatives, ensuring timelines and quality.
Stakeholder Collaboration
- Work closely with business, analytics, and engineering teams to translate requirements into scalable data solutions.
- Support downstream use cases including BI, reporting, and machine learning.
Data Governance & Quality
- Establish data governance standards, including data quality, lineage, access control, and cataloging .
- Ensure compliance with enterprise data policies.
Qualifications
- Experience: 8-12 years in data engineering / data science / analytics, with 2-4 years in a managerial role.
- Education: Bachelor's/ master's in computer science, Data Engineering, Data Science, or related field.
Technical Skills
- Core:
- Advanced SQL (must-have)
- Strong Python for data processing (pandas, PySpark preferred)
- Data Platforms:
- Hands-on experience with Microsoft Fabric , Azure Data Lake, Azure Synapse, Data Factory
- Data Engineering:
- Strong expertise in ETL/ELT pipeline design , orchestration, and optimization
- Experience working with large-scale datasets (batch and near real-time)
- Data Modeling:
- Strong understanding of data warehouse concepts (star/snowflake schema, dimensional modeling)
- BI & Analytics:
- Working knowledge of Power BI / Tableau and semantic modeling .
Sourced from naukri
Skills
data qualityStorytellinguse casesadvanced sqldata scientistDimensional ModelingPythonPower BiTableauSQLPandasArchitectureData GovernancecomplianceSnowflakeETLMicrosoft AzureData ModelingData ScienceArtificial IntelligenceMachine Learning
About Conduent
Conduent
BPO
11.0k+
employees
2017
9 years old
Bengaluru/Bangalore, Karnataka
India
About
Conduent specializes in delivering digital business solutions across various sectors, leveraging advanced technologies to improve public and private service delivery.
Industries
BPOAnalytics & KPO
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