186 Data Models Jobs - Page 3

Job description The Data & Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, we distinguish between Data Analysts and Data Scientists Requirements We are seeking a highly skilled Data Science and Machine Learning specialist with 2+ years of experience in Advanced Analytics, Statistical and ML model development. In this role, candidates will be responsible for leveraging data-driven insights and machine learning techniques to solve complex business problems, optimize processes, and drive innovation. The ideal candidate will be skilled in working with large datasets Key Responsibilities: Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine tune machine learning models and evaluate their performance using appropriate metrics. Qualifications: Bachelors, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases Good to Have: Qualification

The role aims to facilitate visual interpretation of data from various sources and utilize this information to create data-driven solutions based on client requirements. You will be responsible for developing valuable insights from multiple data sources as per the client's needs. This includes engaging with customers to understand their objectives, technology trends, and requirements to define the final output of the data. You will develop wireframes, prototypes, and use cases to demonstrate the required data output to the customer. Additionally, you will analyze, propose, and implement data technology and tools for data visualization, validate solutions, and ensure the final data output aligns with business needs. You will also be involved in designing and implementing data visual aspects, such as building data visualization capabilities for BI dashboards and solutions. This will involve using various data mining and analysis methods, data tools, models, and semantics. Collaboration with other data architects to establish data governance processes and manage metadata and data assets will be crucial. Furthermore, you will support the pre-sales team by presenting data designs and principles to clients, negotiating requirements, and demonstrating technical expertise. Capability building and team management are essential aspects of the role, including ensuring completion of necessary training, developing Wipro's viewpoint on data visualization concepts, and mentoring team members for career growth. Performance will be measured based on project delivery quality, architecture, and adherence to cost, quality, and timeline parameters. Join Wipro to be part of a modern, end-to-end digital transformation partner that encourages reinvention and constant evolution. Your ambition and skills will be empowered to design your own reinvention within a purpose-driven business. Applications from individuals with disabilities are encouraged to apply.,

You should have 8-12 years of experience in a Data Engineer role, with at least 3 years as an Azure data engineer. A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is required. You must be proficient in Python, SQL, and have a deep understanding of PySpark. Additionally, expertise in Databricks or similar big data solutions is necessary. Strong knowledge of ETL/ELT frameworks, data structures, and software architecture is expected. You should have proven experience in designing and deploying high-performance data processing systems and extensive experience with Azure cloud data platforms. As a Data Engineer, your responsibilities will include designing, constructing, installing, testing, and maintaining highly scalable and robust data management systems. You will apply data warehousing concepts to design and implement data warehouse tables in line with business requirements. Building complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as Oracle ERP, ERP Fusion, and Salesforce is essential. You must have the ability and expertise to extract data from various sources like APIs, JSONs, and Databases. Utilizing PySpark and Databricks within the Azure ecosystem to manipulate large datasets, improve performance, and enhance scalability of data operations will be a part of your role. Developing and implementing Azure-based data architectures consistent across multiple projects while adhering to best practices and standards is required. Leading initiatives for data integrity and normalization within Azure data storage and processing environments is expected. You will evaluate and optimize Azure-based database systems for performance efficiency, reusability, reliability, and scalability. Additionally, troubleshooting complex data-related issues within Azure and providing expert guidance and support to the team is necessary. Ensuring all data processes adhere to governance, data security, and privacy regulations is also a critical part of the role.,

You should have experience in the Employee Central module of SuccessFactors. A degree in BE/BTech/MCA/MBA with 3 to 6 years of industry experience is required. Additionally, the following skills are preferred: - Industry or consulting experience - Certification in SuccessFactors Employee Central Solution - Experience in at least two end-to-end implementations - Ability to define business requirements and conduct fit-gap analysis - Proficiency in Data Models and XML - Hands-on experience with MDF, foundation objects, associations, business rules, and workflows - Knowledge of Time-Off and Benefits - System configuration based on Solution Design & Configuration Workbook/Business Blueprint - Preparation and execution of Test Cases, Test Plans, and Test scripts - Strong learning ability, agility, and willingness to acquire new competencies This position is located in Hyderabad/Kochi.,

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. For the role at 66degrees, we are seeking a senior contractor to engage in a 2.5-month remote assignment with the potential to extend. Candidates with the required skills and the ability to work independently as well as within a team environment are encouraged to apply. As part of the responsibilities, you will be expected to facilitate, guide, and influence the client and teams towards an effective architectural pattern. You will serve as an interface between business leadership, technology leadership, and the delivery teams. Your role will involve performing Migration Assessments and producing Migration Plans that include Total Cost of Ownership (TCO), Migration Architecture, Migration Timelines, and Application Waves. Additionally, you will be responsible for designing a solution architecture on Google Cloud to support critical workloads. This will include Heterogeneous Oracle Migrations to Postgres or Spanner. You will need to design a migration path that accounts for the conversion of Application Dependencies, Database objects, Data, Data Pipelines, Orchestration, Users and Security. You will oversee migration activities and provide troubleshooting support, including translation of DDL and DML, executing data transfers using native Google Cloud and 3rd party tools, and setting up and configuring relative Google Cloud components. Furthermore, you will engage with customer teams as a Google Cloud expert to provide Education Workshops, Architectural Recommendations, and Technology reviews and recommendations. Qualifications: - 5+ years of experience with data engineering, cloud architecture, or working with data infrastructure. - 5+ years of Oracle database management and IT experience. - Experience with Oracle Database adjacent products like Golden Gate and Data Guard. - 3+ years of PostgreSQL experience. - Proven experience in performing performance testing and applying remediations to address performance issues. - Experience in designing data models. - Proficiency in Python programming language and SQL. - Advanced SQL skills, including the ability to write, tune, and interpret SQL queries; tool-specific experience in the database platforms listed above is ideal. - Proven experience in migrating and/or implementing cloud databases like Cloud SQL, Spanner, and Bigtable. Desired Skills: - Google Cloud Professional Architect and/or Data Engineer Certification is preferred. 66degrees is committed to protecting your privacy. Your personal information is collected, used, and shared in accordance with the California Consumer Privacy Act (CCPA).,

You will be joining Persistent as an OutSystems Developer, responsible for the core development of OutSystems web applications within an Agile environment. Your role will involve collaborating with team leads and various business segments to analyze and interpret business requirements, develop technical solutions, and ensure timely delivery while maintaining quality standards. It is essential that you possess substantial hands-on experience in coding and designing solutions within Microsoft-based PC or web environments, with a specific focus on OutSystems development. As an OutSystems Developer, you will be expected to have a proactive approach towards problem-solving, with a keen eye for detail and a commitment to delivering high-quality, efficient code. Your responsibilities will include developing functional components such as pages, processes, and custom UI elements in OutSystems, working on multiple assignments concurrently, and adhering to client standards and processes. Effective communication with tech leads and project managers to provide updates on progress, priorities, and any issues encountered will be crucial in this role. To excel in this position, you should possess an OutSystems Certification as a Web Associate Developer or higher, along with a minimum of 2 years of experience working as an OutSystems Developer. Proficiency in working with databases, designing data models, and building applications/services for web and mobile platforms using OutSystems is essential. Additionally, you should have a strong technical acumen in OutSystems architecture, general solution design, and tools like Service Studio, Service Center, and Lifetime. Your problem-solving abilities, collaborative mindset, and proficiency in English language (both written and spoken) will be key assets in fulfilling the requirements of this role. You will also be expected to contribute to application support activities as needed and engage in continuous learning and development opportunities to enhance your skills. Persistent Ltd. is committed to promoting diversity and inclusion in the workplace, welcoming applications from individuals of all backgrounds and abilities. The company offers a competitive salary and benefits package, a culture focused on talent development, opportunities to work with cutting-edge technologies, and various employee engagement initiatives to support your professional growth and well-being. Join us at Persistent, where you can unleash your full potential and make a meaningful impact in a values-driven and inclusive environment. Visit persistent.com/careers for more information.,

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.