329 Etl Tools Jobs - Page 12

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Supply Chain Data Integration Consultant Senior The opportunity We're looking for Senior Level Consultants with expertise in Data Modelling, Data Integration, Data Manipulation, and analysis to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on Data Warehouse Modelling consultant who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs. The ideal candidate must have a good understanding of the value of data warehouse and ETL with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your key responsibilities A minimum of 5+ years of experience in BI/Data integration/ETL/DWH solutions in cloud and on-premises platforms such as Informatica/PC/IICS/Alteryx/Talend/Azure Data Factory (ADF)/SSIS/SSAS/SSRS and experience on any reporting tool like Power BI, Tableau, OBIEE, etc. Performing Data Analysis and Data Manipulation as per client requirements. Expert in Data Modelling to simplify business concepts. Create extensive ER Diagrams to help business in decision-making. Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using data integration technologies. Should be able to develop sophisticated workflows & macros (Batch, Iterative, etc.) in Alteryx with enterprise data. Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool. Perform end-to-end Data validation to maintain the accuracy of data sets. Support client needs by developing SSIS Packages in Visual Studio (version 2012 or higher) or Azure Data Factory (Extensive hands-on experience implementing data migration and data processing using Azure Data Factory). Support client needs by delivering Various Integrations with third-party applications. Experience in pulling data from a variety of data source types using appropriate connection managers as per Client needs. Develop, Customize, Deploy, maintain SSIS packages as per client business requirements. Should have thorough knowledge in creating dynamic packages in Visual Studio with multiple concepts such as - reading multiple files, Error handling, Archiving, Configuration creation, Package Deployment, etc. Experience working with clients throughout various parts of the implementation lifecycle. Proactive with a Solution-oriented mindset, ready to learn new technologies for Client requirements. Analyzing and translating business needs into long-term solution data models. Evaluating existing Data Warehouses or Systems. Strong knowledge of database structure systems and data mining. Skills and attributes for success Deliver large/medium DWH programs, demonstrate expert core consulting skills and an advanced level of Informatica, SQL, PL/SQL, Alteryx, ADF, SSIS, Snowflake, Databricks knowledge, and industry expertise to support delivery to clients. Demonstrate management and an ability to lead projects or teams individually. Experience in team management, communication, and presentation. To qualify for the role, you must have 5+ years ETL experience as Lead/Architect. Expertise in the ETL Mappings, Data Warehouse concepts. Should be able to design a Data Warehouse and present solutions as per client needs. Thorough knowledge in Structured Query Language (SQL) and experience working on SQL Server. Experience in SQL tuning and optimization using explain plan and SQL trace files. Should have experience in developing SSIS Batch Jobs Deployment, Scheduling Jobs, etc. Building Alteryx workflows for data integration, modeling, optimization, and data quality. Knowledge of Azure components like ADF, Azure Data Lake, and Azure SQL DB. Knowledge of data modeling and ETL design. Design and develop complex mappings, Process Flows, and ETL scripts. In-depth experience in designing the database and data modeling. Ideally, you'll also have Strong knowledge of ELT/ETL concepts, design, and coding. Expertise in data handling to resolve any data issues as per client needs. Experience in designing and developing DB objects such as Tables, Views, Indexes, Materialized Views, and Analytical functions. Experience of creating complex SQL queries for retrieving, manipulating, checking, and migrating complex datasets in DB. Experience in SQL tuning and optimization using explain plan and SQL trace files. Candidates ideally should have ideally good knowledge of ETL technologies/tools such as Alteryx, SSAS, SSRS, Azure Analysis Services, Azure Power Apps. Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred. Experience with Cloud databases and multiple ETL tools. What we look for The incumbent should be able to drive ETL Infrastructure related developments. Additional knowledge of complex source system data structures preferably in Financial services (preferred) Industry and reporting related developments will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries. What working at EY offers At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching, and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The job designation is SAP Data Migration-P3II-Remote, and the mandatory skills include SAP Data Migration Cockpit, SAP Data Services, and Data Migration. As a SAP Data Migration specialist, your key responsibilities will involve designing and implementing data migration strategies for SAP B5S/4HANA projects. This includes analyzing legacy system data and defining migration approaches such as direct transfer, staging tables, and ETL tools. You will be required to extract, cleanse, transform, and load data to meet S/4HANA requirements using SAP Data Migration Cockpit (DMC) and SAP BODS. Ensuring data quality through validation and reconciliation processes, and collaborating with business stakeholders is essential. Collaboration with functional teams like Finance, Supply Chain, and PP to align data with business processes will also be part of your responsibilities. Additionally, you will be responsible for preparing and maintaining technical documentation, including migration strategy, mapping rules, and error resolution logs. The ideal candidate will have strong hands-on experience with SAP Data Migration Cockpit (DMC) for S/4HANA migrations, proficiency in ETL tools like SAP BODS, Data Integrator, or equivalent, in-depth knowledge of SAP S/4HANA data structures, models, and Master Data Governance (MDG) integration, and knowledge of SAP SLT, LTMC, IDocs, LSMW, and staging-based migration approaches. Utilizing SLT, IDocs, CDS views, OData services, and APIs for real-time data migration and integration is also required. The shift timings for this role are from 2 PM to 11 PM IST with US overlap for daily connect. About Virtusa: Virtusa values teamwork, quality of life, professional and personal development. When you join Virtusa, you become part of a global team of 30,000 professionals that cares about your growth. Virtusa aims to provide exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with the company. The company fosters collaboration and a team environment, providing a dynamic space for great minds to nurture new ideas and achieve excellence.,

Location : Remote Experience : 10years+ Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

We are looking for a highly motivated and experienced AWS Engineer who possesses AWS cloud experience and a strong desire to stay updated on the latest cloud development best practices. As an AWS Engineer, your primary responsibility will be to identify requirements and develop top-notch cloud-native solutions that are repeatable, scalable, and well-governed. You will be tasked with deploying and thoroughly testing solutions to ensure their robustness and security. Additionally, you will be accountable for creating and managing diagrams related to the solutions deployed in production. Key Requirements: - Designing and developing RESTful services. - Building serverless applications in AWS. - Constructing real-time/streaming data pipelines. - 3-4 years of SQL & Python programming experience. - 2-3 years of experience with various AWS technologies such as Glue, Redshift, Kinesis, Athena, CloudTrail, CloudWatch, Lambda, API Gateway, Step functions, SQS, S3, IAM roles, Secrets Manager. - Proficiency in ETL Tools like Glue, Fivetran, Talend, Matillion, etc. - 1-2 years of experience in DBT with Data Modeling, SQL, Jinja templating, and packages/macros for building robust data transformation pipelines. - Experience with Airbyte for building ingestion modules and CDC mechanisms. - Hands-on experience in distributed architecture systems handling large data volumes. - Strong problem-solving skills and ability to work independently. - Knowledge of Big Data Design Patterns, NoSQL databases, and cloud-based data transformation technologies. - Understanding of object-oriented design principles and enterprise integration patterns. - Familiarity with messaging middleware and building cloud-based applications. - Strong collaboration, communication, and self-driven work ethic. - Proficient in writing clean and effective code. Preferred Skills: - AWS Cloud Certifications. - Experience with Airflow, MWAA, Jinja templating in Python. - Knowledge of DevOps methodologies and CI/CD pipeline design. - Familiarity with Pyspark, DevOps, SQL, Python, and PySpark. - Experience in building Real-Time streaming data pipelines with Kafka, Kinesis. - Understanding of Data warehousing, Data Lake solutions, and Azure DE. - Ability to create and maintain scalable AWS architecture. - Collaboration with technical teams on modern architectures like Microservices, REST APIs, DynamoDB, Lambda, API Gateway. - Developing API-based, CDC, batch, and real-time data pipelines for structured and unstructured datasets. - Integration with third-party systems, ensuring repeatability and scalability. - Gathering requirements, developing solutions, and deploying them with development teams. - Providing comprehensive solution documentation and collaborating with data professionals. - Prioritizing data protection and cloud security in all aspects. If you do not meet all the requirements listed but believe you have unique skills to offer, we encourage you to apply for this role as there may be a suitable opportunity for you in the future.,

As a Senior ETL Developer with 5+ years of experience based in Coimbatore, your primary responsibilities will revolve around designing and developing robust ETL processes to extract, transform, and load data from various sources into the data warehouse. Your role will encompass integrating data from multiple sources to ensure data consistency and quality, optimizing ETL performance for efficiency and scalability, and analyzing complex datasets to identify data quality issues and inconsistencies. Collaboration with data analysts, data scientists, and business stakeholders will be crucial as you work closely with them to understand data requirements and deliver effective data solutions. You will also be responsible for maintaining data integrity throughout the ETL process, troubleshooting and resolving any issues that may arise, and documenting detailed procedures and processes for future reference. Monitoring ETL jobs for successful execution, conducting regular audits to ensure data accuracy, and implementing industry best practices for ETL development and data integration will be part of your routine tasks. Ensuring compliance with data governance policies and data privacy regulations will also be essential in your role. Your technical proficiency in ETL tools and technologies, programming skills, strong understanding of data warehousing concepts, exceptional analytical and problem-solving abilities, excellent communication skills, attention to detail, project management skills, and continuous learning mindset will all be key factors in your success as a Senior ETL Developer. Additionally, you will be expected to provide ongoing support and maintenance for ETL processes, mentor junior developers, and stay updated with the latest trends in ETL technologies and data integration.,

Genpact is a global professional services and solutions firm that is committed to shaping the future by delivering outcomes that bring lasting value to clients. With a workforce of over 125,000 individuals in more than 30 countries, we are driven by curiosity, agility, and a dedication to excellence. Our purpose is to create a world that works better for people, and we achieve this by serving and transforming leading enterprises worldwide, including the Fortune Global 500. Our deep business and industry knowledge, coupled with expertise in digital operations services, data, technology, and AI, enable us to drive success for our clients. We are currently seeking applications for the role of Manager - Sr. Integration Consultant, Supply Chain Consulting. As an Integration Consultant, you will play a crucial role in integrating and configuring Rapid Response to ensure the success of our clients. Your responsibilities will include meeting with clients to understand their business requirements, collaborating with Solution Architects and Consultants to design solutions and project plans, configuring Rapid Response analytics and data models, mapping and validating client data, resolving complex data and analytic configurations, customizing supply chain solutions, and providing exceptional customer service. To be successful in this role, we are looking for the following qualifications: - Minimum Qualifications: - Bachelor's degree in engineering, computer science, supply chain management, management information systems, or a relevant technical field; or equivalent work experience - Detailed understanding of the software development life cycle and experience with data modeling, query building, and analytics - Preferred Qualifications: - Knowledge of functional supply chain and planning processes, ERP/MRP systems, and capacity planning - Experience with ERP systems such as SAP and Oracle, systems integration, and ETL tools like Informatica and Talend - Familiarity with JDBC, multi-threading, MVC frameworks, Spring, JSP, Servlets, HTML, XML, or JavaScript - Functional knowledge of supply chain or after-sales service operations - Strong interpersonal skills, effective communication abilities, and the capacity to contribute to a team environment - Ability to prioritize tasks, excel in a fast-paced setting, and maintain a high level of client focus - Strong work ethic, attention to detail, and a willingness to learn and grow If you are passionate about supply chain consulting and have the skills and qualifications we are looking for, we invite you to apply for this exciting opportunity. Join us in our mission to create a world that works better for everyone. Job Title: Manager - Sr. Integration Consultant, Supply Chain Consulting Primary Location: India-Hyderabad Education Level: Bachelor's / Graduation / Equivalent Job Posting Date: Jan 29, 2025, 2:29:14 AM Job Category: Full Time,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant ETL Testing and Salesforce We are looking for a highly skilled Lead Consultant with expertise in ETL Testing and Salesforce to join our team. In this role, you will lead the design and execution of ETL testing strategies, ensuring the accuracy and integrity of data pipelines, while also managing Salesforce integrations and data validation. You will work closely with business stakeholders and technical teams to ensure high-quality data flow across systems, leveraging both your ETL and Salesforce expertise. Responsibilities Lead the development and execution of ETL testing strategies, focusing on data transformation, integration, and load processes to ensure data accuracy and quality. Design, implement, and maintain test cases for validating ETL processes and data flows from source to target systems, ensuring compliance with business requirements. Manage and lead testing efforts for Salesforce integrations, ensuring seamless data synchronization between Salesforce and other internal or third-party systems. Troubleshoot and resolve issues related to data discrepancies, data transformation errors, and Salesforce data integration failures. Collaborate with business analysts, developers, and data engineers to define testing requirements and ensure alignment with project goals and timelines. Mentor and guide junior team members in ETL testing and Salesforce testing best practices, sharing technical expertise and knowledge. Automate ETL testing processes and ensure the efficiency of data validation, leveraging tools and frameworks to support continuous integration. Provide regular updates and detailed reports to stakeholders on testing progress, risks, issues, and recommendations for improvements. Qualifications we seek in you! Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, or a related field. Strong experience in ETL testing and familiarity with ETL tools (e.g., Informatica, Talend, or similar). In-depth knowledge of Salesforce testing, including experience with Salesforce integrations, Apex, Visualforce, and data validation. Proficiency in SQL for data validation and troubleshooting within ETL processes. Ability to create and execute complex test cases for data validation, transformation, and load processes. Preferred Qualifications Excellent analytical and problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a collaborative team environment. Exceptional communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Leadership experience, including leading teams, managing projects, and driving technical initiatives to successful completion. Certifications in relevant technologies (e.g., ISTQB, certifications) are a plus. Job Lead Consultant Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 3:01:32 PM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time,

You should possess a Bachelor's degree in Computer Science, Information Technology, or a related field. With a minimum of 6 years of experience in CLM development and implementation, particularly focusing on Salesforce CLM. Your responsibilities will include designing, developing, and implementing DocuSign CLM solutions tailored to our organization's requirements. It will be crucial to create and update system configuration, workflow, and integration documentation. Additionally, you will customize and configure DocuSign CLM to optimize contract management workflows and enhance user experience, while also integrating it with other enterprise applications for streamlined processes and data consistency. Your role will involve providing technical support and guidance to end-users to ensure they effectively utilize DocuSign CLM capabilities. Staying updated on the latest developments and best practices in DocuSign CLM and related technologies is essential. Proficiency in relational databases, data modeling, ETL tools, JavaScript, HTML, CSS, and other web technologies is required. A solid understanding of Salesforce architecture, data model, and security is necessary, along with familiarity with Agile methodologies and version control systems. Collaboration with the Business team to comprehend their needs and offer technical expertise is key. Working closely with developers and architects to design and implement CLM enhancements and integrations is part of the role. Participation in code reviews and providing constructive feedback to maintain code quality and best practices is expected. Holding a Salesforce Certified CLM Specialist certification is highly preferred. Strong communication and interpersonal skills are essential, with the ability to communicate technical concepts to non-technical stakeholders effectively.,

Location: Remote Send Resume: navaneetha@suzva.com Include: Current CTC | Expected CTC | Location Experience: 5 to 14 Years Domain Expertise: Telecom domain experience is mandatory Primary Skills & Responsibilities: Strong hands-on experience with Siebel Data Migration (EIM) including Import, Export, Delete, Merge processes Solid experience in Siebel data migration project handling end-to-end Expertise in Requirement Gathering, Design, and Development phases Knowledge of legacy systems and data mapping concepts Experience working with business stakeholders, technical architects, and app designers Familiarity with Data Migration Plans, ETL Tools, and DataStage Strong proficiency in SQL, PL/SQL, and Siebel data model & flow Ability to identify, communicate, and mitigate risks/issues/assumptions Looking for self-driven, experienced professionals who are confident working on complex migration projects in telecom.

Role : Data Modeler Lead Location : Remote Experience : 10years+ Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

Role : Data Modeler Lead Location : Remote Experience : 10years+ Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

I. The role holder is responsible to manage various reporting requirements like Business performance, KPIs, Performance Management, Incentives, CPP & PIP etc To provide insights within organisation across all hierarchy levels right from ExCO to ground level staff and to distribution spread across Bank Staff, Business partners. This role requires maintenance of existing reporting application Saral which is built on SQL & Pentaho. Also person is required to build / automate new dashboards on this reporting application, hence extensive knowledge of various databases & ETL tool is required. Objective of the role is to reduce execution time and associated risk, by automating existing manual reports and to create process and control over various aspects of business intelligence framework, Reporting automation platforms, data dictionary, requirement documents and traceability documents. III. IV. Use Powerpoint, MS Excel, MS Access, PL/SQL, ETL, OLTP System, Macro scripting, BI tools, data warehouse, and all available resources to create / automate reports and its presentation to stakeholders V. Monitoring various sales KPI such as issuance target achievement, login, pipeline cases, commission earned, new business and renewal business, branch & people activation and productivity, etc to the distribution partners and business development teams VI. Creation of Sales force management policy for each and every level of hierarchy for one or more distribution channels VII. Creation of incentive structure for each and every level of hierarchy for one or more distribution channels and management of budgets and opex VIII. Creation of CPP / PIP for each and every level of hierarchy for one or more distribution channels IX. Automation of new reports and continuous tuning / enhancement of already automated reports for improvement opportunities. Gather requirements from in-house teams by understanding existing reporting process and creating automated reports for same I. Handling end to end delivery from Requirement understanding, Development, SIT/Dev testing before releasing for Business UAT, UAT testing support & production Go Live II. Should have hands on experience of SQL & ETL tools for faster learning experience and delivery III. Knowledge of insurance industry is MUST to have quick hand holding. IV. Providing qualitative and timely information to decision makers on all of the aforesaid parameters in form of various dashboards, such as HO business update (automated), early claims dashboard, surrender payout monitoring, etc V. responsible for publishing sales metrics in terms of timely and accurate incentive calculation for 5000+ sales staff on monthly basis approved sales incentive scheme as a part of SFM (Sales Force Management) I. Develop and implement BI strategies aligned with business objectives to leverage the automation in organisation. II. Ensure that automated outputs match with the existing manual reports. However, with an objective of reducing manual efforts & execution time for reports streamlining and efficiency. III. Provide training, guidance and support to ensure team performance and development. IV. Identification of potential risk items, which may lead to data inconsistency & suggest mitigation plan. Define & revise key measures used across organization and collaborate for documentation V. Manage and maintain BI in-house tools and systems for seamless delivery of multiple dashboards. VI. Develop and implement automated workflows for data ingestion, transformation, loading (ETL) and maintenance of data sanity. VII. Manage the projects of design & deploy new reports and tracking dashboards, within least possible turn around and should have hands on experience in all or most of below mentioned tools:-

Description: Role: Data Engineer/ETL Developer - Talend/Power BI Job Description: 1. Study, analyze and understand business requirements in context to business intelligence and provide the end-to-end solutions. 2. Design and Implement ETL pipelines with data quality and integrity across platforms like Talend Enterprise, informatica 3. Load the data from heterogeneous sources like Oracle, MSSql, File system, FTP services, Rest APIs etc.. 4. Design and map data models to shift raw data into meaningful insights and build data catalog. 5. Develop strong data documentation about algorithms, parameters, models. 6. Analyze previous and present data for better decision making. 7. Make essential technical changes to improvise present business intelligence systems. 8. Optimizing ETL processes for improved performance, monitoring ETL jobs and troubleshooting issues. 9. Lead and oversee the Team deliverables, ensure best practices are followed for development. 10. Participate/lead in requirements gathering and analysis. Required Skillset and Experience: 1. Over all up to 3 years of working experience, preferably in SQL, ETL (Talend) 2. Must have 1+ years of experience in Talend Enterprise/Open studio and related tools like Talend API, Talend Data Catalog, TMC, TAC etc. 3. Must have understanding of database design, data modeling 4. Hands-on experience in any of the coding language (Java or Python etc.) Secondary Skillset/Good to have: 1. Experience in BI Tool like MS Power Bi. 2. Utilize Power BI to build interactive and visually appealing dashboards and reports. Required Personal & Interpersonal Skills • Strong Analytical skills • Good communication skills, both written and verbal. • Highly motivated and result-oriented • Self-driven independent work ethics that drives internal and external accountability • Ability to interpret instructions to executives and technical resources. • Advanced problem-solving skills dealing with complex distributed applications. • Experience of working in multicultural environment. Enable Skills-Based Hiring No interested candidates reach out to akram.m@acesoftlabs.com 6387195529

We are seeking a skilled Database Developer to design, develop, and optimize database solutions for enterprise applications. The ideal candidate should have expertise in SQL Server, database development, query optimization, and data modeling . This role requires collaboration with software engineers, data analysts, and business teams to ensure data integrity, high performance, and scalability. Required Qualifications: 5+ years of experience as a Database Engineer. Strong expertise in SQL Server, MySQL, PostgreSQL, or Oracle databases . Advanced knowledge of SQL programming, T-SQL, PL/SQL . Strong understanding of database indexing, query execution plans, and performance tuning . Experience in ETL tools (SSIS, Talend, Informatica, etc.) for data migration and transformation. Familiarity with cloud-based databases (GCP) . Proficiency in data modeling, normalization, and database architecture . Experience with NoSQL databases (MongoDB, Redis) is a plus .

Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Job Description: Senior Data Architect (Contract) Company : Emperen Technologies Location: India (Remote) Type: Contract (8-12 Months) Experience: 8-12 Years Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Type: Contract (8-12 Months) Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Type: Contract (8-12 Months) Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Job Specification Maintenance and support of existing VB.NET applications. Maintenance and support of new and existing Python solutions Maintenance and support of new and existing scheduling and ETL solutions Support existing reports Ability to clearly communicate technical ideas to both technical stakeholders and business end users. Working with the product owner to deliver solutions with a smooth transition through to the production environment. Adhere to change management and release management procedures. Working closely with other team members and end users. Skills Required 5+ years design and support experience. Solid knowledge and experience in VB.NET, Python and JSON. Experience in PL/SQL . Comfortable with Git source control. Knowledge and experience of software engineering life cycle. Experience working with automation/scheduling tools, such as VisualCron or Control-M Experience working with ETL tools, such as Alphafuse or X-Gen Experience in the area of data warehouse and reporting solutions, such as OpenText Great attention to details and the passion to drive projects forward. Able to produce Technical documentation. Excellent time management and decision-making skills. Excellent communication skills in both English written and verbal. Good understanding of financial solution and process. Background in the financial industry preferable. Disclaimer : Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Job Description: Senior Data Architect (Contract) Company : Emperen Technologies Location: India (Remote) Type: Contract (8-12 Months) Experience: 8-12 Years About Emperen Technologies: Emperen Technologies is a dynamic consulting firm founded in 2010, dedicated to delivering impactful results for clients through strong, collaborative partnerships. We specialize in implementing strategic visions for Fortune 500 companies, non-profit organizations, and innovative startups. Our client-centric, values-driven approach, coupled with a scalable business model, empowers clients to navigate and thrive in the ever-evolving technology landscape. We are committed to building a team of top-tier talent who are inspired by our vision and driven to excellence. Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.

Role Overview : We are seeking a highly skilled and experienced Senior Data Architect to join our team on a contract basis. This role will be pivotal in designing and implementing robust data architectures, ensuring data governance, and driving data-driven insights. The ideal candidate will possess deep expertise in MS Dynamics, data lake architecture, ETL processes, data modeling, and data integration. You will collaborate closely with stakeholders to understand their data needs and translate them into scalable and efficient solutions. Responsibilities : Data Architecture Design and Development: - Design and implement comprehensive data architectures, including data lakes, data warehouses, and data integration strategies. - Develop and maintain conceptual, logical, and physical data models. - Define and enforce data standards, policies, and procedures. - Evaluate and select appropriate data technologies and tools. - Ensure scalability, performance, and security of data architectures. - MS Dynamics and Data Lake Integration : - Lead the integration of MS Dynamics with data lake environments. - Design and implement data pipelines for efficient data movement between systems. - Troubleshoot and resolve integration issues. - Optimize data flow and performance within the integrated environment. ETL and Data Integration : - Design, develop, and implement ETL processes for data extraction, transformation, and loading. - Ensure data quality and consistency throughout the integration process. - Develop and maintain data integration documentation. - Implement data validation and error handling mechanisms. Data Modeling and Data Governance : - Develop and maintain data models that align with business requirements. - Implement and enforce data governance policies and procedures. - Ensure data security and compliance with relevant regulations. - Establish and maintain data dictionaries and metadata repositories. Issue Resolution and Troubleshooting : - Proactively identify and resolve architectural issues. - Conduct root cause analysis and implement corrective actions. - Provide technical guidance and support to development teams. - Communicate issues and risks proactively. Collaboration and Communication : - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Communicate effectively with technical and non-technical audiences. - Participate in design reviews and code reviews. - Work as good single contributor and good team player. Qualifications : Experience : - 8-12 years of hands-on experience in data architecture and related fields. - Minimum 4 years of experience in architectural design and integration. - Experience working with cloud based data solutions. Technical Skills : - Strong expertise in MS Dynamics and data lake architecture. - Proficiency in ETL tools and techniques (e.g., Azure Data Factory, SSIS, etc.). - Expertise in data modeling techniques (e.g., dimensional modeling, relational modeling). - Strong understanding of data warehousing concepts and best practices. - Proficiency in SQL and other data query languages. - Experience with data quality assurance and data governance. - Experience with cloud platforms such as Azure or AWS. Soft Skills : - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Flexible and adaptable to changing priorities. - Proactive and self-motivated. - Ability to deal with ambiguity. - Open to continuous learning. - Self-confident and humble. - Intelligent, rigorous thinker who can operate successfully amongst bright people.