2467 Data Integration Jobs - Page 27

Role description for Customer Support Engineer/ OPS Engineer We are looking for a dynamic executive to join our customer support operations team. The executive will be responsible for technical customer support and manage relationships with customers. This position is ideal for young solar photovoltaic enthusiast in renewable energy sector, who is looking for demonstrating technical understanding in challenges in solar PV power plant O&M and asset management and providing best customer support service. The executive would be closely working directly with customer support manager and operations head on daily basis. The executive will be hands on working on Apollo, our patented performance intelligence and health analytics solution for solar PV power plants. Responsibilities 1. Configuration of new plants on to Apollo 2. Checking all engineering files of the power plant received from the customer 3. Setting up plant topology and configuration in Apollo 4. Setting up data pipeline connection between Apollo and customer site 5. Activating all product features in apollo relayed to central monitoring, analytics and CMMS 6. Validating plant onboarding checks and preparing handover files to the customer 7. Creating UAT report for the handover plants Must-Haves Customer Support and Technical Support skills Troubleshooting and Field Service abilities Data Integration Protocol Experience in renewable energy or related industry is a plus Knowledge of solar and wind power plant operations Bachelors degree in Engineering or renewable field Pune based candidates only Qualification Bachelor in Computer Science/Engineering

Experience: 4+ years of experience in Adobe Campaign Classic Intetested candidates can share their resumes at Shilpisahu@kpmg.com Job Summary: 1) Designing, Implementing, and Maintaining Adobe Campaign Classic infrastructure. 2) Working closely with Marketing, Analytics, Business & IT teams to ensure seamless data integration, technical enhancements, and customer experience orchestration. Responsibilities: - Configure and manage Adobe Campaign Classic (ACC), including data integration / ingestion after campaign execution - Develop and maintain data models, schemas to support customer data management and analysis in ACC - Collaborate with stakeholders to gather requirements, design solutions, and implement new features and functionalities - Troubleshoot issues, perform root cause analysis, and resolve technical problems in Adobe Campaign Classic - Ensure data quality, integrity, and compliance with organizational standards and regulatory requirements (Data Governance) - Stay up-to-date with Adobe product roadmaps, releases, and best practices, applying knowledge to continuously improve the Adobe stack - Mentor junior team members, providing guidance and training on Campaign Classic - Utilize Query Service in ACC to create custom queries, aggregate data, and generate insights - Configure new data sources, such as CRM, ERP, or social media platforms, to ingest into ACC - Set up new destinations in CDP, such as Adobe Campaign Classic Requirements: - 4+ years of hands-on experience with Adobe Campaign Classic - Strong understanding of customer data management, data modeling, and data governance principles - Experience with data integration, APIs, and cloud-based architectures - Proven track record of successfully implementing and maintaining large-scale Adobe projects - Excellent problem-solving skills, with the ability to troubleshoot complex technical issues - Strong communication and collaboration skills, with experience working with cross-functional teams - Bachelor's degree in Computer Science, Information Technology, or a related field - Adobe Certified Expert in Campaign Classic and/or Real-Time CDP is a plus - Migration from Adobe Campaign Classic from v7 to v8 will be added advantage - Implement IP warming strategies to ensure optimal email deliverability and reduce spam filters will be added advantage

Job Title: Data Associate - Cloud Data Engineering Experience: 4+ Years Employment Type: Full-Time Industry: Information Technology / Data Engineering / Cloud Platforms Job Summary: We are seeking a highly skilled and experienced Senior Data Associate to join our data engineering team. The ideal candidate will have a strong background in cloud data platforms, big data processing, and enterprise data systems, with hands-on experience across both AWS and Azure ecosystems. This role involves building and optimizing data pipelines, managing large-scale data lakes and warehouses, and enabling advanced analytics and reporting. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS Glue, PySpark, and Azure Data Factory. Work with AWS Redshift, Athena, Azure Synapse, and Databricks to support data warehousing and analytics solutions. Integrate and manage data across MongoDB, Oracle, and cloud-native storage like Azure Data Lake and S3. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality datasets. Implement data quality checks, monitoring, and governance practices. Optimize data workflows for performance, scalability, and cost-efficiency. Support data migration and modernization initiatives across cloud platforms. Document data flows, architecture, and technical specifications. Required Skills & Qualifications: 8+ years of experience in data engineering, data integration, or related roles. Strong hands-on experience with: AWS Redshift, Athena, Glue, S3 Azure Data Lake, Synapse Analytics, Databricks PySpark for distributed data processing MongoDB and Oracle databases Proficiency in SQL, Python, and data modeling. Experience with ETL/ELT design and implementation. Familiarity with data governance, security, and compliance standards. Strong problem-solving and communication skills. Preferred Qualifications: Certifications in AWS (e.g., Data Analytics Specialty) or Azure (e.g., Azure Data Engineer Associate). Experience with CI/CD pipelines and DevOps for data workflows. Knowledge of data cataloging tools (e.g., AWS Glue Data Catalog, Azure Purview). Exposure to real-time data processing and streaming technologies. Required Skills Azure,AWS REDSHIFT,Athena,Azure Data Lake

Role & responsibilities We are seeking a dynamic and detail-oriented STIBO MDM Consultant (E1 Level) to support the design, development, and maintenance of master data management solutions using the STIBO STEP platform. You will work with business and IT stakeholders to ensure accurate and consistent data management across enterprise systems. Key Responsibilities: Assist in the implementation and support of STIBO STEP MDM solutions Configure and maintain workflows, business rules, and data models within STIBO Collaborate with data stewards and business analysts to define and manage product, customer, or supplier master data Support data quality initiatives and data governance processes Participate in data integration and migration activities Conduct unit testing and support UAT with detailed documentation Troubleshoot issues related to data workflows, APIs, and configuration Must-Have Skills: 4-8 years of experience with STIBO STEP MDM platform Understanding of data modeling , data governance , and data quality concepts Experience with XML, JSON , and REST APIs Familiarity with workflow configuration and hierarchy management in STIBO Ability to write technical documentation and support testing efforts Good to Have Skills: Knowledge of JavaScript or Groovy scripting within STIBO Experience with PIM (Product Information Management) Exposure to cloud platforms (AWS, Azure) Understanding of ETL tools and data integration pipelines

We are seeking a highly experienced and technically proficient Microsoft Dynamics ERP (D365) person to lead the ERP implementation, customization, and continuous optimization across our retail operations. The ideal candidate will possess deep expertise in Microsoft Dynamics 365 (Finance, Supply Chain, Retail) and Microsoft POS programming, with a proven track record of managing large-scale ERP transformations in a dynamic retail environment. Role & responsibilities Lead ERP implementation and upgrade projects. Lead the end-to-end ERP lifecycle: planning, implementation, customization, upgrade, and support. Experience in Microsoft POS programming. Drive change management and process improvement initiatives Ensure proper documentation, training, and adoption among internal teams and end users. Build, mentor, and manage a ERP team - developers, consultants, analysts. Preferred candidate profile 15+ years in ERP systems, with at least 8 years in Microsoft Dynamics ERP. Provide technical leadership in Dynamics D365 F&O, Commerce (Retail), and Point-of-Sale (POS) systems In-depth hands-on development experience with X++, .NET/C#, LCS, Power Platform, and Azure DevOps Hands-on experience in 2 full-cycle implementations of D365 in the retail domain. Deep understanding of Microsoft POS architecture, customization, and integration. Drive change management and process improvement initiatives across retail functions. Strong understanding of Power BI, SSRS, and data integration techniques.

The purpose of your role is to define and develop Enterprise Data Structure, Data Warehouse, Master Data, Integration, and transaction processing while maintaining and strengthening modeling standards and business information. You will define and develop Data Architecture that supports the organization and clients in new/existing deals. This includes partnering with business leadership to provide strategic recommendations, assessing data benefits and risks, creating data strategy and roadmaps, engaging stakeholders for data governance, ensuring data storage and database technologies are supported, monitoring compliance with Data Modeling standards, overseeing frameworks for data management, and collaborating with vendors and clients to maximize the value of information. Additionally, you will be responsible for building enterprise technology environments for data architecture management. This involves developing, maintaining, and implementing standard patterns for data layers, data stores, data hub & lake, evaluating implemented systems, collecting and integrating data, creating data models, implementing best security practices, and demonstrating strong experience in database architectures and design patterns. You will also enable Delivery Teams by providing optimal delivery solutions and frameworks. This includes building relationships with delivery and practice leadership teams, defining database structures and specifications, establishing relevant metrics, monitoring system capabilities and performance, integrating new solutions, managing projects, identifying risks, ensuring quality assurance, recommending tools for reuse and automation, and supporting the integration team for better efficiency. In addition, you will ensure optimal Client Engagement by supporting pre-sales teams, negotiating and coordinating with client teams, demonstrating thought leadership, and acting as a trusted advisor. Join Wipro to reinvent your world and be a part of an end-to-end digital transformation partner with bold ambitions. Realize your ambitions in a business powered by purpose and empowered to design your reinvention. Applications from people with disabilities are explicitly welcome.,

At PwC, our consultants in business application specialize in providing consulting services for various business applications to help clients optimize operational efficiency. You will analyze client needs, implement software solutions, and offer training and support for the seamless integration and utilization of business applications. This will enable clients to achieve their strategic objectives. In Oracle enterprise performance management at PwC, your focus will be on delivering consulting services for enterprise performance management solutions using Oracle technologies. Collaborating with clients, you will assess their performance management needs, design and implement Oracle-based solutions for budgeting, forecasting, financial consolidation, and reporting. Additionally, you will provide training and support for the integration and utilization of Oracle enterprise performance management tools to enhance clients" financial planning and analysis processes. As part of the Finance Consulting services at PwC, you will have the opportunity to work with CEOs, CFOs, Controllers, and Treasurers to optimize the structure of their finance functions and enhance their contribution to the business. Our team supports clients in achieving control standards, efficient back-office operations, and insightful business support. By optimizing financial planning, consolidation, reporting, and analytics processes, we provide valuable business insights that drive better decisions and actions. Join our growing Enterprise Performance Management practice at PwC to be involved in the transformation journey for both clients and our team. You will collaborate with PwC and client team members across the implementation lifecycle, from planning and configuration to design, testing, training, change management, go-live, and post-production support. The role may require work from both offshore locations and client sites. Responsibilities of this role include demonstrating expertise and success in end-to-end implementation of OneStream CPM/EPM projects. You should have proficiency in understanding business requirements and translating them into OneStream solutions. With 2-4 years of experience in OneStream and at least 1-2 end-to-end project experiences, you will be responsible for developing best practices in financial close, consolidation, FP&A processes, and reporting. Your knowledge of Consolidation and FP&A will guide business users during the financial close process. Additionally, you should possess good communication and detailing skills, along with the ability to build prototype proof of concept applications within the OneStream platform, transform FP&A from excel-based to technology-supported integrated planning, and develop various reports and dashboards as needed. Your expertise in OneStream, regulatory reporting, financial close processes, and other related tools will be essential for this role.,

As a Data Management Consultant at SAP Success Delivery Center, you play a crucial role in supporting customers on their digital transformation journey by implementing Data Management solutions, including Data Migrations and Master Data Governance. Working as a tech-no functional consultant, you will be an integral part of project teams responsible for delivering SAP Implementations to clients. Your responsibilities include being hands-on with solutions, possessing good communication skills for engaging in business discussions, and having a functional understanding of Data Management. Prior development experience is considered an added advantage. While occasional travel may be required based on customer needs, the primary focus will be on remote and offshore delivery. One of your key objectives is to own or acquire relevant SAP Business AI skills to effectively position and deliver SAP's AI offerings to customers. Your role also involves enhancing the adoption and consumption of various SAP AI offerings within customer use cases. You will be joining the Data Management Solution Area within BTP Delivery @ Scale, which is a robust team of over 100 professionals delivering engagements across a wide range of Data Management topics such as Data Migration, Data Integration, Data Engineering, Data Governance, and Data Quality. At SAP, our innovations empower over four hundred thousand customers globally to collaborate more efficiently and leverage business insights effectively. Our company, known for its leadership in enterprise resource planning (ERP) software, has evolved into a market leader in end-to-end business application software and related services, including database, analytics, intelligent technologies, and experience management. With a cloud-based approach, two hundred million users, and a diverse workforce of over one hundred thousand employees worldwide, we are committed to being purpose-driven and future-focused. Our culture emphasizes collaboration, personal development, and a strong team ethic. We believe in connecting global industries, people, and platforms to provide solutions for every challenge. At SAP, you have the opportunity to bring out your best. Diversity and inclusion are at the core of SAP's culture, with a focus on health, well-being, and flexible working models that ensure every individual, regardless of background, feels included and empowered to perform at their best. We believe in the strength that comes from the unique capabilities and qualities each person brings to our organization, and we invest in our employees to nurture confidence and unlock their full potential. SAP is dedicated to unleashing all talent and contributing to a better and more equitable world. SAP is an equal opportunity workplace and an affirmative action employer. We uphold the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you require accommodation or special assistance to navigate our website or complete your application, please contact the Recruiting Operations Team at Careers@sap.com. For SAP employees, only permanent roles qualify for the SAP Employee Referral Program, subject to the eligibility criteria outlined in the SAP Referral Policy. Specific conditions may apply to roles in Vocational Training. EOE AA M/F/Vet/Disability: Successful candidates may undergo a background verification with an external vendor. Requisition ID: 422298 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.,

The Data & Analytics Team is looking for a Data Engineer with a unique blend of skills in data integration and application development. In this role, you will play a critical part in the design, engineering, governance, and enhancement of our entire Data Platform. This platform caters to customers, partners, and employees by providing self-service access. Your expertise will be showcased in areas such as data & metadata management, data integration, data warehousing, data quality, machine learning, and core engineering principles. With over 5 years of experience in system/data integration, development, or implementation of enterprise and/or cloud software, you bring a strong background in Web APIs (RESTful and SOAP). Your proficiency extends to setting up data warehousing solutions and associated pipelines, particularly with ETL tools such as Informatica Cloud. Proficiency in Python, data wrangling, and query authoring in both SQL and NoSQL environments is a must. Experience in a cloud-based computing environment, especially GCP, is preferred. You excel in documenting Business Requirement, Functional & Technical documentation, as well as writing Unit & Functional Test Cases, Test Scripts & Run books. Incident management systems like Jira, Service Now, etc., are familiar territories for you. Moreover, you are well-versed in Agile Software development methodology, possess strong organizational and troubleshooting skills, and exhibit excellent interpersonal skills to collaborate effectively within cross-functional teams. As a Data Engineer, you will lead system/data integration, development, or implementation efforts for enterprise and/or cloud software. Your responsibilities will include designing and implementing data warehousing solutions and associated pipelines, performing data wrangling and authoring complex queries, developing and integrating applications using Python and Web APIs, providing operational support for the data platform and applications, creating comprehensive documentation, managing incidents effectively, preparing change management packages, and actively participating in Enterprise Risk Management Processes. Additionally, you will work within an Agile Software Development methodology and contribute to team success while collaborating effectively within cross-functional teams. At GlobalLogic, we offer a culture of caring that prioritizes putting people first, a commitment to continuous learning and development, the opportunity to work on interesting and impactful projects, a belief in the importance of work-life balance and flexibility, and a high-trust organization that values integrity. Join us at GlobalLogic, a trusted digital engineering partner to the world's largest and most forward-thinking companies, where you will have the chance to work on cutting-edge solutions that shape the world today.,

The Customer Excellence Advisory Lead (CEAL) role focuses on empowering customers to maximize the potential of their data through top-tier architectural guidance and design. As a part of the Oracle Analytics Service Excellence organization, the team comprises Solution Architects specializing in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. The primary objective is to ensure the successful adoption of Oracle Analytics by engaging with customers and partners globally to build trust in the platform. Collaboration with Product Management is key to enhancing product offerings and sharing insights through various mediums such as blogs, webinars, and demonstrations. The ideal candidate will work closely with strategic FDI customers and partners to guide them towards optimized implementations and develop Go-live plans geared towards achieving high usage levels. This position is classified as Career Level - IC4. Responsibilities include proactively identifying customer requirements, uncovering unaddressed needs, and devising potential solutions across different customer segments. The role involves assisting in shaping complex product and program strategies based on customer interactions and effectively implementing scalable solutions and projects for customers operating in diverse enterprise environments. Collaboration with customers and internal stakeholders to communicate strategies, synchronize solution implementation timelines, provide updates, and adjust plans according to evolving objectives is vital. Additionally, preparing for complex product or solution-related inquiries and challenges that customers may present, gathering detailed product insights based on customer needs, and promoting understanding of customer complexities and the value propositions of various programs are key responsibilities. Primary Skills required for this role include: - Over 4 years of experience with OBIA and Oracle Analytics - Robust knowledge of Analytics RPD design, development, and deployment - Strong understanding of BI/data warehouse analysis, design, development, and testing - Extensive experience in data analysis, data profiling, data quality, data modeling, and data integration - Proficiency in crafting complex queries and stored procedures using Oracle SQL and Oracle PL/SQL - Skilled in developing visualizations and user-friendly workbooks - Previous experience in developing solutions incorporating AI and ML using Analytics - Experience in enhancing report performance Desirable Skills: - Experience with Fusion Applications (ERP/HCM/SCM/CX) - Ability to design and develop ETL Interfaces, Packages, Load plans, user functions, variables, and sequences in ODI for batch and real-time data integrations - Worked with multiple Cloud Platforms - Certification on FDI, OAC, and ADW Qualifications: Career Level - IC4 About Us: Oracle, a global leader in cloud solutions, leverages cutting-edge technology to address present-day challenges. With over 40 years of experience, Oracle partners with industry leaders across various sectors and continues to thrive by operating with integrity. The company is committed to fostering an inclusive workforce that promotes opportunities for all, recognizing that true innovation flourishes when everyone is empowered to contribute. Oracle offers competitive benefits based on parity and consistency, supporting employees with flexible medical, life insurance, and retirement options. The organization also encourages community involvement through volunteer programs. Commitment to inclusivity extends to people with disabilities at all stages of the employment process. For accessibility assistance or accommodation for a disability, individuals can reach out via email at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

You will be working as a Contractor with the ability to work independently. Your expertise should include experience in Oracle Analytics Cloud, Oracle Autonomous Data Warehouse (ADW), and Oracle Data Integrator (ODI). Your responsibilities will involve handling various requirements such as: - Demonstrating expertise in data analysis and reporting. - Utilizing extensive hands-on experience for developing analytics and data warehousing reports/solutions. - Possessing in-depth knowledge of databases, cloud concepts, Autonomous Data Warehouse (ADW), and data integration.,

As an Enterprise Architect, Data Integration and BI at Myers-Holum, you will be responsible for leading the strategic design, architecture, and implementation of enterprise data solutions to ensure alignment with our clients" long-term business goals. Your role will involve developing and promoting the architectural vision for data integration, Business Intelligence (BI), and analytics solutions across various business functions and applications. You will design and build scalable, high-performance data warehouses and BI solutions for clients using cutting-edge cloud-based and on-premise technologies. Additionally, you will lead cross-functional teams in developing data governance frameworks, data models, and integration architectures to support seamless data flow across disparate systems. You will translate high-level business requirements into technical specifications, ensuring alignment with broader organizational IT strategies and compliance standards. Your responsibilities will also include architecting end-to-end data pipelines, data integration frameworks, and data governance models to enable the seamless flow of structured and unstructured data from multiple sources. Furthermore, you will provide thought leadership in evaluating and recommending emerging technologies, tools, and best practices for data management, integration, and business intelligence. You will oversee the deployment and adoption of key enterprise data initiatives, engage with C-suite executives and senior stakeholders to communicate architectural solutions, and lead and mentor technical teams to foster a culture of continuous learning and innovation in the areas of data management, BI, and integration. Your role will involve conducting architectural reviews, providing guidance on best practices for data security, compliance, and performance optimization, as well as leading technical workshops, training sessions, and collaborative sessions with clients to ensure successful adoption of data solutions. You will contribute to the development of internal frameworks, methodologies, and standards for data architecture, integration, and BI, while staying up to date with industry trends and emerging technologies to continuously evolve the enterprise data architecture. To qualify for this position, you should have 10+ years of relevant professional experience in data management, business intelligence, and integration architecture, along with 6+ years of experience in designing and implementing enterprise data architectures. You should possess expertise in cloud-based data architectures, proficiency in data integration tools, experience with relational databases, and a solid understanding of BI platforms. Additionally, strong business analysis, stakeholder management, written and verbal communication skills, and experience in leading digital transformation initiatives are required. At Myers-Holum, you will have the opportunity to collaborate with other curious minds, shape your future, positively influence change for customers, and discover your true potential. As part of our team, you will be encouraged to remain curious, humble, and resilient, while contributing to our mission and operating principles. With over 40 years of experience, a strong internal framework, cutting-edge technology partners, and a focus on employee well-being and growth, Myers-Holum offers a rewarding and supportive environment for professional development and career advancement.,

As a Senior Cloud Support Engineer at Snowflake, you will be a key member of the expanding Support team, dedicated to providing high-quality resolutions to help deliver data-driven business insights and results. You will have the opportunity to work with a wide variety of operating systems, database technologies, big data, data integration, connectors, and networking to solve complex issues. Snowflake's core values of putting customers first, acting with integrity, owning initiative and accountability, and getting it done are reflected in everything we do. Your role will involve delighting customers with your passion and knowledge of Snowflake Data Warehouse, providing technical guidance, and expert advice on effective and optimal use of Snowflake. You will also be the voice of the customer, providing product feedback and improvements to Snowflake's product and engineering teams. Additionally, you will play a crucial role in building knowledge within the team and contributing to strategic initiatives for organizational and process improvements. As a Senior Cloud Support Engineer, you will drive technical solutions to complex problems, adhere to response and resolution SLAs, and demonstrate good problem-solving skills. You will utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues, document known solutions, and report bugs and feature requests. Partnering with engineering teams, you will prioritize and resolve customer requests, participate in a variety of Support initiatives, and provide support coverage during holidays and weekends based on business needs. The ideal candidate for this role will have a Bachelor's or Master's degree in Computer Science or equivalent discipline, along with 5+ years of experience in a Technical Support environment or a similar technical function in a customer-facing role. Solid knowledge of at least one major RDBMS, in-depth understanding of SQL data types, aggregations, and advanced functions, as well as proficiency in database patch and release management are essential. Additionally, familiarity with distributed computing principles and frameworks, scripting/coding experience, database migration and ETL experience, and the ability to monitor and optimize cloud spending using cost management tools are considered nice-to-haves. Special requirements for this role include participation in pager duty rotations during nights, weekends, and holidays, as well as the ability to work the 4th/night shift starting from 10 pm IST. Applicants should be flexible with schedule changes to meet business needs. Snowflake is a rapidly growing company, and we are looking for individuals who share our values, challenge ordinary thinking, and drive innovation while building a future for themselves and Snowflake. Join us in making an impact and accelerating our growth.,

As a Data Science Associate Director at Accenture Strategy & Consulting's Global Network Data & AI practice in the Resources team, your role will involve collaborating with clients and stakeholders to drive business growth and identify new opportunities. You will be responsible for solution architecting, designing, building, deploying, delivering, and monitoring advanced analytics models to address various client problems. Your strategic mindset will play a crucial role in translating engineering and business problems into analytics challenges to deliver actionable insights and operational enhancements. Your responsibilities will include interfacing with clients and account teams, collaborating with internal Accenture teams to drive sales, identifying new use cases with cross-functional teams, and providing innovation and thought leadership in key capability areas. Additionally, you will manage and mentor a high-performing team of data analysts working on large-scale datasets, cloud platforms, IoT, and similar data sets. To excel in this role, you should possess excellent communication and interpersonal skills, a strategic mindset, and a solid foundation in Statistical Modeling, Machine Learning algorithms, and Experimental design. Your 15+ years of experience in Data Science with a focus on cloud services will be valuable, along with expertise in programming languages such as Python, PySpark, SQL, or Scala. Experience in Utilities, Energy, Chemical, and Natural Resources sectors is preferred. Implementing MLOps practices, understanding data integration, modeling, warehousing concepts, and possessing strong analytical and problem-solving skills are essential for this position. A Bachelor's/Masters's degree in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field is required. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable. Your ability to work effectively with cross-functional teams, stakeholders, and provide analytically-informed insights at scale will be key to achieving high performance and driving business growth in this role.,

As a Data Engineer specializing in Snowflake architecture, you will be responsible for designing and implementing scalable data warehouse architectures, including schema modeling and data partitioning. Your role will involve leading or supporting data migration projects to Snowflake from on-premise or legacy cloud platforms. You will be developing ETL/ELT pipelines and integrating data using various tools such as DBT, Fivetran, Informatica, and Airflow. It will be essential to define and implement best practices for data modeling, query optimization, and storage efficiency within Snowflake. Collaboration with cross-functional teams, including data engineers, analysts, BI developers, and stakeholders, will be crucial to align architectural solutions effectively. Ensuring data governance, compliance, and security by implementing RBAC, masking policies, and access control within Snowflake will also be part of your responsibilities. Working closely with DevOps teams to enable CI/CD pipelines, monitoring, and infrastructure as code for Snowflake environments is essential. Your role will involve optimizing resource utilization, monitoring workloads, and managing the cost-effectiveness of the platform. Staying updated with Snowflake features, cloud vendor offerings, and best practices will be necessary to drive continuous improvement in data architecture. Qualifications & Skills: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - 5+ years of experience in data engineering, data warehousing, or analytics architecture. - 3+ years of hands-on experience in Snowflake architecture, development, and administration. - Strong knowledge of cloud platforms such as AWS, Azure, or GCP. - Solid understanding of SQL, data modeling, and data transformation principles. - Experience with ETL/ELT tools, orchestration frameworks, and data integration. - Familiarity with data privacy regulations (GDPR, HIPAA, etc.) and compliance. Additional Qualifications: - Snowflake certification (SnowPro Core / Advanced). - Experience in building data lakes, data mesh architectures, or streaming data platforms. - Familiarity with tools like Power BI, Tableau, or Looker for downstream analytics. - Experience with Agile delivery models and CI/CD workflows. This role offers an exciting opportunity to work on cutting-edge data architecture projects and collaborate with diverse teams to drive impactful business outcomes.,

At PwC, our team in infrastructure is dedicated to designing and implementing secure and robust IT systems that facilitate business operations. We focus on ensuring the smooth functioning of networks, servers, and data centers to enhance performance and reduce downtime. As part of the infrastructure engineering team at PwC, your role will involve creating and implementing scalable technology infrastructure solutions for our clients. This will encompass tasks such as network architecture, server management, and experience in cloud computing. We are currently seeking a Data Modeler with a solid background in data modeling, metadata management, and optimizing data systems. In this role, you will be responsible for analyzing business requirements, developing long-term data models, and maintaining the efficiency and consistency of our data systems. Key Responsibilities: - Analyze business needs and translate them into long-term data model solutions. - Evaluate existing data systems and suggest enhancements. - Define rules for data translation and transformation across different models. - Collaborate with the development team to design conceptual data models and data flows. - Establish best practices for data coding to ensure system consistency. - Review modifications to existing systems to ensure cross-compatibility. - Implement data strategies and create physical data models. - Update and optimize local and metadata models. - Utilize canonical data modeling techniques to improve system efficiency. - Evaluate implemented data systems for discrepancies, variances, and efficiency. - Troubleshoot and optimize data systems to achieve optimal performance. Key Requirements: - Proficiency in relational and dimensional modeling (OLTP, OLAP). - Experience with data modeling tools such as Erwin, ER/Studio, Visio, and PowerDesigner. - Strong skills in SQL and database management systems like Oracle, SQL Server, MySQL, and PostgreSQL. - Familiarity with NoSQL databases such as MongoDB and Cassandra, including their data structures. - Hands-on experience with data warehouses and BI tools like Snowflake, Redshift, BigQuery, Tableau, and Power BI. - Knowledge of ETL processes, data integration, and data governance frameworks. - Excellent analytical, problem-solving, and communication skills. Qualifications: - Bachelor's degree in Engineering or a related field. - 5 to 9 years of experience in data modeling or related areas. - 4+ years of practical experience in dimensional and relational data modeling. - Expertise in metadata management and relevant tools. - Proficiency in data modeling tools like Erwin, Power Designer, or Lucid. - Understanding of transactional databases and data warehouses. Preferred Skills: - Experience in cloud-based data solutions, such as AWS, Azure, and GCP. - Knowledge of big data technologies like Hadoop, Spark, and Kafka. - Understanding of graph databases and real-time data processing. - Certifications in data management, modeling, or cloud data engineering. - Strong communication and presentation skills. - Excellent interpersonal skills to collaborate effectively with diverse teams.,

As an AWS Solution Architect with 8 years of experience, your primary responsibility will be managing solution architecture, providing consulting services, overseeing software development, integration, and business processes. Your tasks will include designing, developing, and implementing scalable and reliable AWS cloud solutions in alignment with best practices. Collaboration with cross-functional teams to achieve project objectives and meet customer needs will be essential. Your technical skills should include proficiency in working with relational databases like PostgreSQL, Microsoft SQL Server, and Oracle, with experience in database schema design, optimization, and management. You must also have strong knowledge of AWS services such as S3, AWS DMS (Database Migration Service), and AWS Redshift Serverless. Setting up and managing data pipelines using AWS DMS, creating and managing data storage solutions using AWS S3, and expertise in data integration techniques and tools are required. Experience in designing and implementing ETL processes, performing data mapping, transformation, and data cleansing activities, as well as setting up and managing data warehouses, particularly AWS Redshift Serverless, is necessary. Proficiency in creating and managing views in AWS Redshift, scripting languages like Python or SQL for automating data integration tasks, and familiarity with automation tools and frameworks are essential. Your analytical and problem-solving skills will be crucial, including the ability to analyze and interpret complex data sets, identify and resolve data integration issues, and troubleshoot data integration and migration issues effectively. Strong collaboration skills to work with database administrators and stakeholders, excellent communication skills for documenting data integration processes, and adaptability to stay updated with the latest data integration tools and technologies are expected. Knowledge of data security and privacy regulations, ensuring adherence to data security and privacy standards during data integration processes, and proven experience in similar data integration projects are important. Familiarity with the requirements and challenges of integrating production relational databases with AWS services, along with AWS certifications such as AWS Certified Solutions Architect or AWS Certified Database - Specialty, will be advantageous. Your qualifications should include experience in solution architecture and consulting, proficiency in software development and integration, knowledge of business process optimization and automation, and preferably AWS certification or equivalent experience. This role requires a proactive individual with a strong technical background, excellent communication skills, and a collaborative mindset to deliver effective AWS cloud solutions and data integration services.,

As a Senior Power BI Consultant at MathCo, you will be responsible for leading the design, development, and deployment of impactful dashboards and data visualizations. Your role will require a deep understanding of Power BI capabilities, strong data modeling skills, and the ability to translate business requirements into actionable insights. Working across cross-functional teams, you will contribute to strategic initiatives while ensuring high standards of delivery and performance. Your key responsibilities will include leading the end-to-end development of Power BI dashboards, ensuring visual appeal, functionality, and business relevance. You will gather and interpret reporting requirements from stakeholders, architect data models, and design dashboard solutions accordingly. Leveraging advanced Power BI capabilities such as Power Query, DAX, M language, and API integrations, you will build robust reports while optimizing dashboards for performance and user experience. In addition, you will play a crucial role in ensuring strong data governance and security within Power BI by managing user access and role-based permissions. Collaboration with data engineering and business teams to manage source data connections and ensure data quality will be essential. You will also drive technical discussions, provide consulting expertise, and offer recommendations aligned with business objectives. To excel in this role, you should have 4-6 years of hands-on experience with Power BI, including proficiency in complex DAX queries and Power Query transformations. Strong SQL skills and a solid understanding of data warehousing, BI concepts, and dashboard performance optimization are also required. Experience with data integration from multiple sources, handling complex data relationships, and designing intuitive and interactive dashboards for business storytelling is essential. Certifications in Power BI or related visualization tools, familiarity with agile methodologies, and experience working in a fast-paced consulting environment are preferred. Exposure to big data technologies, modern data stacks, DevOps practices, CI/CD pipelines, and version control in analytics workflows will be advantageous. High emotional intelligence, cultural adaptability, and effective communication skills are key attributes for success in this role. As a MathCo team member, you are expected to embody MathCo's culture and way of working, demonstrate ownership, strive for excellence in delivering results, actively engage in initiatives fostering company growth, and support diversity while appreciating different perspectives. Join us at MathCo to leverage your expertise, drive innovation, and "Leave a Mark" as a Mathemagician in the world of Enterprise AI and Analytics.,

The Data & Analytics Team is looking for a Data Engineer with a hybrid skillset in data integration and application development. In this role, you will play a crucial part in designing, engineering, governing, and enhancing our entire Data Platform. This platform serves customers, partners, and employees by providing self-service access. You will showcase your expertise in data & metadata management, data integration, data warehousing, data quality, machine learning, and core engineering principles. To be successful in this role, you should have at least 5 years of experience in system/data integration, development, or implementation of enterprise and/or cloud software. You must have strong experience with Web APIs (RESTful and SOAP) and be proficient in setting up data warehousing solutions and associated pipelines, including ETL tools (preferably Informatica Cloud). Demonstrated proficiency in Python, data wrangling, and query authoring in SQL and NoSQL environments is essential. Experience in a cloud-based computing environment, specifically GCP, is preferred. You should also excel in documenting Business Requirement, Functional & Technical documentation, writing Unit & Functional Test Cases, Test Scripts & Run books, and incident management systems like Jira, Service Now, etc. Working knowledge of Agile Software development methodology is required. As a Data Engineer, you will be responsible for leading system/data integration, development, or implementation efforts for enterprise and/or cloud software. You will design and implement data warehousing solutions and associated pipelines for internal and external data sources, including ETL processes. Performing extensive data wrangling and authoring complex queries in both SQL and NoSQL environments for structured and unstructured data will be part of your daily tasks. You will develop and integrate applications, leveraging strong proficiency in Python and Web APIs (RESTful and SOAP). Providing operational support for the data platform and applications, including incident management, will also be a key responsibility. Additionally, you will create comprehensive Business Requirement, Functional, and Technical documentation, develop Unit & Functional Test Cases, Test Scripts, and Run Books, and manage incidents effectively using systems like Jira, Service Now, etc. At GlobalLogic, we prioritize a culture of caring. We put people first, offering an inclusive culture where you can build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, providing various opportunities to grow personally and professionally. You'll have the chance to work on interesting and meaningful projects that make an impact. We believe in balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve a perfect work-life balance. Join us in a high-trust organization where integrity is key, and trust is a cornerstone of our values to employees and clients. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest companies, helping create innovative digital products and experiences. You'll have the opportunity to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.,

As the MLOps Engineering Director at Horizontal Data Science Enablement Team within SSO Data Science, you will play a crucial role in managing the Databricks platform for the entire organization and leading best practices in MLOps. Your responsibilities will include overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. You will continuously monitor the clusters for high workloads or excessive usage costs, ensuring the overall health of the clusters and addressing any issues promptly. Implementing and managing security protocols to safeguard sensitive information and facilitating the integration of various data sources into Databricks will be key aspects of your role. Collaborating closely with data engineers, data scientists, and stakeholders, you will provide support for data processing and analytics needs. Maintaining comprehensive documentation of Databricks configurations, processes, and best practices, as well as leading participation in security and architecture reviews, will be part of your responsibilities. Additionally, you will bring MLOps expertise to the table by focusing on areas such as model monitoring, feature catalog/store, model lineage maintenance, and CI/CD pipelines. To excel in this role, you should possess a Master's degree in computer science or a related field, along with strong experience in Databricks management, cloud technologies, and MLOps solutions like MLFlow. Your background should include hands-on experience with industry-standard CI/CD tools, data governance processes, and coding proficiency in languages such as Python, Java, and C++. A systematic problem-solving approach, excellent communication skills, and a sense of ownership and drive are essential qualities for success in this position. Moreover, your ability to set yourself apart will be demonstrated through your experience in SQL tuning, automation, data observability, and supporting highly scalable systems. Operating in a 24x7 environment, self-motivation, creativity in solving software problems, and ensuring system availability across global time zones will further enhance your profile for this role. In alignment with Mastercard's corporate security responsibility, you will be expected to adhere to security policies and practices, maintain the confidentiality and integrity of accessed information, report any security violations, and complete mandatory security trainings. By taking on this role, you will contribute to ensuring the efficiency and security of Mastercard's data science operations.,

We are seeking a highly skilled and experienced Business Analytics and Insights Manager to drive data-driven business strategies, empower decision-making, and enhance customer experiences for our enterprise products. Your role will involve leveraging advanced analytics, predictive modeling, and data integration to provide actionable insights aligned with business objectives. You will be responsible for predicting business trends, forecasting performance, and providing data-backed recommendations to improve revenue attainment, customer retention, and sales performance. Additionally, you will lead efforts to establish seamless integrations between data sources, data catalogue systems, and analytics tools to drive insights and innovation. You will be expected to: - Deliver actionable insights and dashboards using tools like Power BI, KNIME, Tableau, and similar analytics platforms - Communicate insights to Success Managers, Product Leaders, and Customer Experience Executives through engaging visualizations and data stories - Support leadership with data-driven recommendations to enhance decision-making and strategic planning You will also: - Analyze historical and real-time data to develop predictive models and forecasts for business value growth, revenue attainment, and customer experience improvement - Identify renewal trends, churn risks, and upsell/cross-sell opportunities through data-driven insights - Provide forward-looking recommendations to mitigate risks and optimize performance Furthermore, you will: - Establish and manage integrations across data sources, ensuring a unified data view - Build, maintain, and optimize data pipelines, warehouses, and catalog systems for scalable analytics - Implement robust data governance frameworks to ensure data integrity, accuracy, and security You will leverage advanced analytics platforms and AI/ML capabilities to generate predictive and prescriptive insights. Your role will involve developing forecasting models to anticipate business trends, revenue outcomes, and customer behavior, as well as driving corrective and preventive strategies based on analytics. Collaboration with cross-functional teams to understand business challenges, providing strategic insights to senior leadership, and fostering a culture of data-driven decision-making will be key aspects of your role. Qualifications and Skills: - Education: Bachelors or Masters degree in Statistics, Computer Science, Data Science, Business Analytics, or a related field - Experience: 13-15 years in data analytics, business intelligence, or related domains, with expertise in predictive analytics and forecasting, preferably in a B2B SaaS environment - Technical Expertise: Proficiency in analytics and visualization tools, expertise in AI/ML platforms, and strong understanding of data management and governance frameworks - Functional Knowledge: Deep understanding of customer lifecycle management, business performance metrics, and ability to translate data into actionable insights for strategy and performance improvement,

Greetings from Teknikoz, With over 6 years of experience, you should possess mandatory skills in Power BI, Tableau, BI Solutions Architecture, and Dimensional Data Modeling. Your responsibilities will include proven experience working with SAP HANA Cloud, including HANA Cloud services like HANA Database XS and HANA Application Cloud. You must have hands-on experience in SAP Business Application Studio (BAS) for SAP Cloud Platform development. Additionally, a strong background in creating and optimizing calculation views, stored procedures, and SQL-based solutions is required. You should have in-depth understanding and experience with Smart Data Integration (SDI) for data integration and transformation. Familiarity with Cloud Connector for secure integration of on-premise systems with SAP Cloud solutions is crucial. Knowledge about database triggers, constraints, and maintaining data integrity is necessary. Solid understanding of SAP HANA development concepts and best practices is expected. Experience with SAP SDI Smart Data Integration and cloud-based data connectivity is preferred. Proficiency in version control, CI/CD pipelines, and deployment processes in cloud environments is an advantage. Excellent analytical and problem-solving skills are essential. Being a team player with excellent communication skills is key to success in this role.,

As the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms, Celonis believes in unlocking productivity through data and intelligence at the core of business processes. To achieve this goal, Celonis is seeking a Technical Solution Architect specializing in OEM & Technology Partnerships to join the Celonis Garage team. Celonis Garage, an independent research and development unit within Celonis, is dedicated to pioneering new business models, exploring emerging technologies, and developing prototypes to enhance the Celonis platform. The role of the Technical Solution Architect involves driving the successful technical implementation of Celonis within OEM partner solutions and strategic technology partnerships. The focus is on developing usable, go-to-market ready Celonis applications that accelerate adoption and growth through embedded Process Intelligence. The Technical Solution Architect will provide technical expertise during pre-sales activities, design solutions and application architectures for OEM partner integration, and develop technical presentations, demos, and proof of concepts. Additionally, the role involves guiding and supporting partners throughout the technical implementation of Celonis, providing hands-on assistance with configuration, data integration, app building, and customization of the Celonis platform. Collaboration with internal product and engineering teams, development of connectors to the Celonis platform, and support in launching go-to-market ready Celonis applications for partners" end customer base are key responsibilities of the Technical Solution Architect. The role also includes conducting initial customer POCs, evolving partner apps towards robust offerings, and aligning technical solutions with business objectives. The ideal candidate should hold a Bachelor's degree in Computer Science or a related technical field, possess extensive experience with the Celonis platform, and have a strong technical background in data integration, API development, cloud technologies, and application development. Proficiency in Python, SQL, REST APIs, product management expertise, excellent communication skills, and the ability to work independently and as part of a team are essential qualifications for this role. Joining Celonis offers the opportunity to work with award-winning process mining technology, benefit from career growth opportunities, receive exceptional benefits, prioritize well-being, and be part of a company driven by strong values. If you are passionate about driving technical enablement and implementation supporting strategic technology partnerships, Celonis welcomes you to join their dynamic, international team in Bangalore, India.,

As a BlueYonder Demand Planning professional with over 6 years of experience, you will be responsible for implementing and managing the data hub to ensure seamless integration with Blue Yonder tools. Your role will involve leading supply chain planning and inventory optimization projects, collaborating with IT and business teams to enhance data quality and efficiency, and utilizing SQL and programming skills to improve system functionalities. It will be essential for you to stay updated on the latest trends in supply chain management and data integration. You will work closely with clients to understand their challenges, opportunities, and risks, sharing industry best practices while remaining adaptable to their unique circumstances. Your responsibilities will include executing each client's design within the BY TMS application, utilizing established project management processes to track progress, communicate updates, and manage tasks effectively. Collaborating with internal and external stakeholders, you will ensure the timely completion of project deliverables and maintain strong relationships throughout the project lifecycle. With a minimum of 10 years of experience in supply chain management and data integration, you should possess a deep understanding and hands-on experience in Blue Yonder Warehouse Management and Planning modules. Proficiency in integrating JDA ESP and JDA SCPO solutions, along with experience in ERP application integrations with WMS, will be advantageous. Technical expertise in Blue Yonder supply chain planning tools, Planning and WMS platforms, and hands-on developer experience with JDA Integrator are key qualifications for this role. Your strong understanding of supply chain functions and best practices, coupled with experience in SQL and programming languages, will be valuable assets in this position. Familiarity with IT standards, processes, and methodologies, including Quality Assurance, Project Management Life Cycle, Software Delivery Life Cycle, and Agile methodologies, will be essential for your success in this role. As an accountable professional, you will ensure the quality, completeness, and timely delivery of assigned projects, resolving complex support issues and leading technical project teams when necessary.,

The Healthcare Analytics Specialist position based in Gurugram requires 3 to 5 years of experience. You will be responsible for developing, maintaining, and optimizing data pipelines, including ingestion, transformation, and loading of internal and external sources. Collaboration with Operations is essential to design scalable, secure, and high-performing data workflows. Best practices in data governance, version control, security, and documentation must be implemented. Analytical models for cost, quality, and utilization metrics will be built and maintained using tools like Python, R, or SQL-based BI tools. Reports will be developed to communicate findings to stakeholders across the organization. Ingesting and preprocessing third-party data from various sources, ensuring compliance with transparency requirements and designing automated workflows for data validation are key responsibilities. Data quality assurance through validation checks, audits, and anomaly detection frameworks is crucial. Compliance with healthcare regulations such as HIPAA, HITECH, and data privacy requirements must be maintained. Participation in internal and external audits of data processes is expected. Continuous improvement and thought leadership are encouraged to enhance data processes, adopt new technologies, and promote a data-driven culture within the organization. Mentoring junior analysts and sharing best practices in data analytics, reporting, and pipeline development are part of the role. Required qualifications include a Bachelor's degree in health informatics, Data Science, Computer Science, Statistics, or a related field. Proficiency in data integration & ETL, databases & cloud, BI & visualization, and healthcare domain expertise is necessary. Analytical & problem-solving skills, soft skills, and strong project management abilities are also required. Preferred qualifications include advanced degrees, experience with healthcare cost transparency regulations, familiarity with DataOps or DevOps practices, certification in BI or data engineering, and experience in data stewardship programs & leading data governance initiatives. Joining this position offers opportunities for innovation through advanced analytics projects, growth by leading initiatives and mentoring others, and working in a supportive culture that values open communication, knowledge sharing, and continuous learning.,