Career

Experience:

5-10 Years

Role Overview:

The Data Architect will design and optimize enterprise-wide data models, ensuring scalable, secure, and high-performance data systems to support analytics, reporting, and AI initiatives.

Key Responsibilities:

• Design logical and physical data models (OLTP, OLAP, Data Lake, EDW).
• Architect end-to-end data pipelines and integration frameworks.
• Define data architecture standards, governance, and best practices.
• Work with cloud platforms (AWS/Azure/GCP) for data solutions.
• Optimize performance, storage, and security of large-scale datasets.
• Collaborate with engineering and analytics teams to deliver robust solutions.

Required Skills:

• Strong SQL, database design (RDBMS + NoSQL).
• Experience with data lakes, warehousing, ETL/ELT frameworks.
• Hands-on with Snowflake / Redshift / BigQuery / Synapse preferred.
• Knowledge of data governance, metadata management, MDM.
• Strong analytical and communication skills.

Experience:

5-10 Years

Role Overview:

Responsible for implementing data quality frameworks, ensuring accuracy, completeness, consistency, and reliability of enterprise data.

Key Responsibilities:

• Build and implement data quality rules and validation processes.
• Define data profiling, cleansing, and standardization techniques.
• Conduct root cause analysis of data issues.
• Implement DQM tools and automation workflows.
• Work closely with data governance and engineering teams.

Required Skills:

• Expertise in DQM tools (Informatica DQ, Talend DQ, Ataccama, etc.).
• Strong SQL, data profiling, data lineage understanding.
• Experience in regulatory and compliance-driven environments.
• Strong documentation and analytical capabilities.

Experience:

5-10 Years

Role Overview:

The Data Governance Expert will establish governance frameworks, policies, standards, and processes to ensure secure, managed, and compliant data usage across the enterprise.

Key Responsibilities:

• Develop and enforce data governance policies.
• Lead data stewardship, metadata management, and data lifecycle management.
• Implement data cataloging and classification practices.
• Manage compliance needs (HIPAA, GDPR, SOC2, etc.).
• Work with business and technical teams to ensure governance alignment.

Required Skills:

• Experience with Collibra, Informatica EDC, Alation, etc.
• Strong understanding of data compliance and regulatory frameworks.
• Knowledge of metadata models, lineage, and governance maturity models.
• Excellent communication and stakeholder management.

Experience:

5-10 Years

Role Overview:

Design, develop, and maintain scalable ETL/ELT pipelines supporting enterprise data integration and analytics.

Key Responsibilities:

• Develop ETL pipelines using tools like Informatica, Talend, Azure Data Factory, DBT, etc.
• Optimize pipeline performance and automation.
• Work on data ingestion strategies (batch/real-time).
• Troubleshoot data issues and ensure data availability.
• Collaborate with data architects and BI teams.

Required Skills:

• Strong SQL and scripting (Python preferred).
• Hands-on with ETL/ELT tools and cloud data platforms.
• Understanding of data warehousing concepts.
• Strong debugging and performance tuning skills.

Experience:

5-10 Years

Role Overview:

Build interactive dashboards, reports, and data models using Microsoft Power BI.

Key Responsibilities:

• Develop Power BI dashboards, DAX measures, and data models.
• Work with data owners to understand reporting needs.
• Optimize report performance.
• Implement row-level security and governance standards.
• Integrate Power BI with SQL, cloud services, and APIs.

Required Skills:

• Advanced DAX, Power Query (M), data modeling.
• Strong SQL and ETL understanding.
• Knowledge of Power BI administration and workspace management.
• Strong visualization and storytelling skills.

Experience:

5-10 Years

Role Overview:

Create enterprise-grade dashboards and analytics solutions using Tableau.

Key Responsibilities:

• Build dashboards, stories, and visualizations in Tableau.
• Optimize extracts, data sources, and performance.
• Publish and manage workbooks on Tableau Server/Cloud.
• Work with business teams for analytics insights.
• Implement visualization standards and best practices.

Required Skills:

• Strong Tableau Desktop + Server expertise.
• SQL proficiency and data modeling experience.
• Knowledge of ETL and data preparation workflows.
• Strong analytical and visualization skills.

Experience:

5-10 Years

Tools:

Metabase, Apache Superset, JasperReports, Pentaho, Redash, Grafana

Role Overview:

Develop and support dashboards, embedded analytics, and reporting solutions using open-source BI platforms.

Key Responsibilities:

• Build dashboards, custom visualizations, and SQL-based reports.
• Manage deployments and configurations of open-source BI tools.
• Create automated reporting and alerts.
• Integrate BI tools with databases, APIs, and applications.
• Optimize performance and data source queries.

Required Skills:

• Strong SQL, scripting (Python/JavaScript), and API integration.
• Hands-on experience with at least 2-3 open-source BI tools.
• Understanding of ETL pipelines and data architecture.
• Experience with Linux environments, Docker, cloud deployment.

Experience:

5-10 Years

Role Overview:

Lead end-to-end development of machine learning, predictive analytics, and intelligent automation solutions.

Key Responsibilities:

• Build ML models (classification, forecasting, NLP, etc.).
• Develop pipelines for training, testing, deployment (MLOps).
• Work with large datasets for feature engineering.
• Implement AI-powered automation solutions.
• Collaborate with data engineering and product teams.

Required Skills:

• Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong mathematical and statistical foundations.
• Experience with MLOps tools and cloud AI platforms.
• Familiarity with NLP, LLMs, and deep learning.

Experience:

5-10 Years

Role Overview:

Design and implement GenAI solutions, including LLM integration, prompt engineering, embeddings, and AI automation workflows.

Key Responsibilities:

• Build custom LLM and GenAI applications.
• Implement vector databases and retrieval augmented generation (RAG).
• Develop automation workflows using AI-driven tools.
• Optimize prompts, workflows, and model accuracy.
• Collaborate with engineering teams for deployment.

Required Skills:

• Experience with OpenAI, Anthropic, HuggingFace, LangChain, or similar.
• Strong Python development.
• Knowledge of embeddings, vector stores, fine-tuning.
• Understanding of AI security, governance, and responsible AI practices.

Experience:

5-10 Years

Role Overview:

Develop scalable enterprise applications using Microsoft .NET technologies.

Key Responsibilities:

• Build web applications using .NET Core, C#, MVC, Web API.
• Integrate front-end and back-end components.
• Develop secure, high-performance applications.
• Work with databases like SQL Server and cloud services.
• Collaborate with QA and product teams.

Required Skills:

• Strong C#, .NET Core, REST APIs.
• SQL Server expertise.
• Experience with Azure or AWS.
• Understanding of microservices architecture.

Experience:

5-10 Years

Role Overview:

Develop modern front-end applications using React.js.

Key Responsibilities:

• Build responsive UI using React, Redux, TypeScript.
• Integrate APIs and optimize front-end performance.
• Ensure cross-browser and mobile compatibility.
• Collaborate with designers and backend teams.

Required Skills:

• React.js, Redux, JavaScript/TypeScript.
• Strong understanding of UI/UX fundamentals.
• Experience with REST APIs, GraphQL.
• Familiarity with Node.js and build tools.

Experience:

5-10 Years

Role Overview:

Develop backend services and APIs using Node.js.

Key Responsibilities:

• Build and maintain RESTful and GraphQL APIs.
• Work with databases (SQL/NoSQL).
• Develop microservices and event-driven architectures.
• Implement security, caching, and performance tuning.

Required Skills:

• Node.js, Express.js, JavaScript/TypeScript.
• MongoDB/MySQL/PostgreSQL knowledge.
• API development and integrations.
• Experience with cloud deployment and CI/CD.