Datamatics Technologies

BI Developer (Offshore) – Contractual (4 Months) Role Purpose Develop and deliver high-quality dashboards and analytical reports based on functional specifications using Oracle Analytics, ensuring accurate data representation and business insights. Key Responsibilities - Develop interactive dashboards and analytical reports using Oracle Analytics Cloud (OAC). - Build and manage datasets, semantic models, and data visualizations. - Implement KPIs, calculated measures, and business logic within reports. - Optimize dashboards for performance, scalability, and user experience. - Perform data validation and support User Acceptance Testing (UAT) by addressing feedback and fixes. - Collaborate closely with BA/BI consultants and stakeholders to ensure accurate translation of business requirements into reporting solutions. - Ensure data accuracy, consistency, and adherence to reporting standards. - Maintain documentation for reports, datasets, and dashboards. Required Skills & Qualifications - Strong hands-on experience with Oracle Analytics Cloud (OAC). - Proven expertise in dashboard development and data visualization best practices. - Solid knowledge of SQL and data querying techniques. - Experience in building semantic models and data layers. - Ability to understand and translate functional/business requirements into effective BI solutions. - Strong analytical, problem-solving, and communication skills. Preferred Skills - Experience working in Agile environments. - Exposure to data warehousing concepts and ETL processes. - Familiarity with Oracle ecosystem (e.g., Oracle DB, ODI, or related tools). Engagement Details - Duration: 4 Months (Contractual – Offshore) - Location: Remote / Offshore - Availability: Immediate or short notice preferred

BI Developer (Offshore) – Contractual (4 Months) Role Purpose Develop and deliver high-quality dashboards and analytical reports based on functional specifications using Oracle Analytics, ensuring accurate data representation and business insights. Key Responsibilities - Develop interactive dashboards and analytical reports using Oracle Analytics Cloud (OAC). - Build and manage datasets, semantic models, and data visualizations. - Implement KPIs, calculated measures, and business logic within reports. - Optimize dashboards for performance, scalability, and user experience. - Perform data validation and support User Acceptance Testing (UAT) by addressing feedback and fixes. - Collaborate closely with BA/BI consultants and stakeholders to ensure accurate translation of business requirements into reporting solutions. - Ensure data accuracy, consistency, and adherence to reporting standards. - Maintain documentation for reports, datasets, and dashboards. Required Skills & Qualifications - Strong hands-on experience with Oracle Analytics Cloud (OAC). - Proven expertise in dashboard development and data visualization best practices. - Solid knowledge of SQL and data querying techniques. - Experience in building semantic models and data layers. - Ability to understand and translate functional/business requirements into effective BI solutions. - Strong analytical, problem-solving, and communication skills. Preferred Skills - Experience working in Agile environments. - Exposure to data warehousing concepts and ETL processes. - Familiarity with Oracle ecosystem (e.g., Oracle DB, ODI, or related tools). Engagement Details - Duration: 4 Months (Contractual – Offshore) - Location: Remote / Offshore - Availability: Immediate or short notice preferred

Job Title: BI Developer (Offshore) Role Purpose Design, develop, and deliver high-quality dashboards and analytical reports using Oracle Analytics Cloud, translating functional specifications into scalable and user-friendly BI solutions. Key Responsibilities - Develop interactive dashboards and analytical reports using Oracle Analytics Cloud (OAC). - Build and manage datasets, subject areas, and semantic models. - Implement business logic including KPIs, calculated metrics, and data transformations. - Translate functional specifications into effective visualizations and reports. - Optimize dashboards for performance, scalability, and user experience. - Apply best practices in data visualization and dashboard design. - Collaborate closely with BA/BI Consultants to ensure accurate implementation of business requirements. - Perform unit testing and support User Acceptance Testing (UAT), including bug fixes and enhancements. - Troubleshoot data/reporting issues and ensure data accuracy and consistency. Required Skills & Experience - 4–7+ years of experience in BI development or data visualization roles. - Strong hands-on expertise in Oracle Analytics Cloud (OAC). - Solid experience in dashboard development and data visualization best practices. - Proficiency in SQL and data querying for data extraction and validation. - Good understanding of data models, joins, and basic ETL concepts. - Ability to interpret and implement functional and technical specifications. - Strong attention to detail and problem-solving skills. - Good communication skills for collaboration with onshore teams. Nice to Have - Experience working in finance or banking domain - Exposure to other BI tools (Power BI, Tableau) - Understanding of data warehousing concepts - Experience working in offshore delivery models Key Competencies - Analytical thinking - Attention to detail - Time management and delivery focus - Collaboration and teamwork - Adaptability in fast-paced environments

Job Title: Data Engineer (Offshore) Role Purpose Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and business intelligence solutions. The role focuses on transforming raw data into structured, reliable datasets for downstream BI consumption. Key Responsibilities - Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration (or similar ETL tools). - Design and implement data mappings, transformation logic, and data workflows. - Build robust ETL/ELT processes to extract, transform, and load data into analytics/data warehouse layers. - Prepare and structure datasets optimized for reporting and dashboard consumption. - Ensure data quality, consistency, and integrity across pipelines. - Monitor and troubleshoot data pipeline failures, performance issues, and data availability challenges. - Collaborate closely with BI Developers and BA/BI Consultants to align data models with reporting requirements. - Optimize data pipelines for performance, scalability, and efficiency. - Document data flows, transformations, and technical specifications. Required Skills & Experience - 4–7+ years of experience in Data Engineering or ETL development roles. - Hands-on experience with Oracle Cloud Data Integration (OCDI) or similar ETL platforms (Informatica, Talend, Azure Data Factory, etc.). - Strong SQL skills with expertise in data transformation and optimization. - Solid understanding of data modeling concepts (star schema, snowflake schema, normalization/denormalization). - Experience building and managing ETL/ELT pipelines for analytics and BI solutions. - Familiarity with data warehousing concepts and architectures. - Strong problem-solving skills with attention to data accuracy and quality. - Ability to work in offshore delivery models and collaborate with cross-functional teams. Nice to Have - Experience in finance or banking domain - Exposure to cloud data platforms (Oracle Cloud, AWS, Azure) - Knowledge of big data technologies (e.g., Spark, Hadoop) - Experience with performance tuning and pipeline optimization Key Competencies - Analytical and structured thinking - Attention to detail and data accuracy - Collaboration and teamwork - Ownership and accountability - Adaptability in dynamic environments

Job Title: BI Developer (Offshore) Role Purpose Design, develop, and deliver high-quality dashboards and analytical reports using Oracle Analytics Cloud, translating functional specifications into scalable and user-friendly BI solutions. Key Responsibilities - Develop interactive dashboards and analytical reports using Oracle Analytics Cloud (OAC). - Build and manage datasets, subject areas, and semantic models. - Implement business logic including KPIs, calculated metrics, and data transformations. - Translate functional specifications into effective visualizations and reports. - Optimize dashboards for performance, scalability, and user experience. - Apply best practices in data visualization and dashboard design. - Collaborate closely with BA/BI Consultants to ensure accurate implementation of business requirements. - Perform unit testing and support User Acceptance Testing (UAT), including bug fixes and enhancements. - Troubleshoot data/reporting issues and ensure data accuracy and consistency. Required Skills & Experience - 4–7+ years of experience in BI development or data visualization roles. - Strong hands-on expertise in Oracle Analytics Cloud (OAC). - Solid experience in dashboard development and data visualization best practices. - Proficiency in SQL and data querying for data extraction and validation. - Good understanding of data models, joins, and basic ETL concepts. - Ability to interpret and implement functional and technical specifications. - Strong attention to detail and problem-solving skills. - Good communication skills for collaboration with onshore teams. Nice to Have - Experience working in finance or banking domain - Exposure to other BI tools (Power BI, Tableau) - Understanding of data warehousing concepts - Experience working in offshore delivery models Key Competencies - Analytical thinking - Attention to detail - Time management and delivery focus - Collaboration and teamwork - Adaptability in fast-paced environments

Job Title: Data Engineer (Offshore) Role Purpose Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and business intelligence solutions. The role focuses on transforming raw data into structured, reliable datasets for downstream BI consumption. Key Responsibilities - Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration (or similar ETL tools). - Design and implement data mappings, transformation logic, and data workflows. - Build robust ETL/ELT processes to extract, transform, and load data into analytics/data warehouse layers. - Prepare and structure datasets optimized for reporting and dashboard consumption. - Ensure data quality, consistency, and integrity across pipelines. - Monitor and troubleshoot data pipeline failures, performance issues, and data availability challenges. - Collaborate closely with BI Developers and BA/BI Consultants to align data models with reporting requirements. - Optimize data pipelines for performance, scalability, and efficiency. - Document data flows, transformations, and technical specifications. Required Skills & Experience - 4–7+ years of experience in Data Engineering or ETL development roles. - Hands-on experience with Oracle Cloud Data Integration (OCDI) or similar ETL platforms (Informatica, Talend, Azure Data Factory, etc.). - Strong SQL skills with expertise in data transformation and optimization. - Solid understanding of data modeling concepts (star schema, snowflake schema, normalization/denormalization). - Experience building and managing ETL/ELT pipelines for analytics and BI solutions. - Familiarity with data warehousing concepts and architectures. - Strong problem-solving skills with attention to data accuracy and quality. - Ability to work in offshore delivery models and collaborate with cross-functional teams. Nice to Have - Experience in finance or banking domain - Exposure to cloud data platforms (Oracle Cloud, AWS, Azure) - Knowledge of big data technologies (e.g., Spark, Hadoop) - Experience with performance tuning and pipeline optimization Key Competencies - Analytical and structured thinking - Attention to detail and data accuracy - Collaboration and teamwork - Ownership and accountability - Adaptability in dynamic environments

Job Title: Senior Data Engineer (AWS) Experience: 6–8 Years Location: Remote Industry: Retail / Data & Analytics Job Summary We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments. This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams. Key Responsibilities - Design, develop, and maintain scalable data pipelines using AWS services. - Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool). - Manage and configure data workflows and orchestration within the Orion framework. - Develop and maintain configuration files and ensure seamless integration across systems. - Collaborate with data architects, analysts, and business stakeholders to deliver data solutions. - Optimize data processing performance and ensure data quality and reliability. - Work on data modeling, transformation, and warehousing solutions. - Implement best practices for data governance, security, and compliance. - Troubleshoot and resolve data-related issues across pipelines and infrastructure. - Contribute to continuous improvement and innovation in data engineering practices. Required Skills & Expertise - Strong experience with AWS ecosystem, including: - AWS Glue - Amazon S3 - AWS Lambda - Amazon Redshift / RDS - Hands-on expertise in DBT (Data Build Tool) for data transformation. - Solid understanding of data pipeline architecture and ETL/ELT processes. - Experience working with Orion framework and handling configuration-driven workflows. - Good understanding of networking concepts within AWS environments (VPC, subnets, security groups). - Proficiency in SQL and Python for data processing. - Experience with version control systems (Git). - Familiarity with CI/CD pipelines for data workflows. Preferred Qualifications - Experience in retail or supply chain data environments. - Exposure to real-time data processing and streaming frameworks. - Knowledge of data lake and lakehouse architectures. - AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect). Key Competencies - Strong analytical and problem-solving skills - Innovative mindset with a focus on continuous improvement - Ability to work in high-performance, collaborative teams - Excellent communication and stakeholder management skills - Ownership and accountability for deliverables

Job Title: Senior Data Engineer (AWS) Experience: 6–8 Years Location: Remote Industry: Retail / Data & Analytics Job Summary We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments. This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams. Key Responsibilities - Design, develop, and maintain scalable data pipelines using AWS services. - Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool). - Manage and configure data workflows and orchestration within the Orion framework. - Develop and maintain configuration files and ensure seamless integration across systems. - Collaborate with data architects, analysts, and business stakeholders to deliver data solutions. - Optimize data processing performance and ensure data quality and reliability. - Work on data modeling, transformation, and warehousing solutions. - Implement best practices for data governance, security, and compliance. - Troubleshoot and resolve data-related issues across pipelines and infrastructure. - Contribute to continuous improvement and innovation in data engineering practices. Required Skills & Expertise - Strong experience with AWS ecosystem, including: - AWS Glue - Amazon S3 - AWS Lambda - Amazon Redshift / RDS - Hands-on expertise in DBT (Data Build Tool) for data transformation. - Solid understanding of data pipeline architecture and ETL/ELT processes. - Experience working with Orion framework and handling configuration-driven workflows. - Good understanding of networking concepts within AWS environments (VPC, subnets, security groups). - Proficiency in SQL and Python for data processing. - Experience with version control systems (Git). - Familiarity with CI/CD pipelines for data workflows. Preferred Qualifications - Experience in retail or supply chain data environments. - Exposure to real-time data processing and streaming frameworks. - Knowledge of data lake and lakehouse architectures. - AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect). Key Competencies - Strong analytical and problem-solving skills - Innovative mindset with a focus on continuous improvement - Ability to work in high-performance, collaborative teams - Excellent communication and stakeholder management skills - Ownership and accountability for deliverables

Informatica IDMC Administrator Experience: 5–6 Years Duration: 6 Months (Extendable up to 1 Year) Location: Offshore Start Date: Around May Role Purpose The Informatica IDMC Administrator will be responsible for managing, configuring, and maintaining the Informatica Intelligent Data Management Cloud (IDMC) platform to ensure high availability, performance, and security. Key Responsibilities - Administer and manage Informatica IDMC platform components - Configure and maintain Secure Agents, Runtime Environments, and Connectivity - Monitor system performance and troubleshoot platform-related issues - Manage user access, roles, and security policies - Handle deployment, upgrades, and patch management - Ensure system availability, scalability, and performance optimization - Support integration with cloud platforms (AWS, Azure, GCP) - Work closely with development teams for environment setup and issue resolution - Maintain backup, recovery, and disaster recovery processes Required Skills - Strong experience with Informatica IDMC Administration - Hands-on experience with Secure Agent configuration and management - Knowledge of networking, cloud environments, and API integrations - Experience in user management and security configurations - Familiarity with CI/CD and DevOps practices Preferred Qualifications - Informatica certifications (IDMC or related) – good to have - Experience with cloud platforms (AWS/Azure/GCP) - Understanding of data integration and ETL processes