• Define and own the target-state master data architecture for the SAP ECC to S/4HANA Cloud migration • Serve as design authority for the master data workstream — setting data models, conversion standards, and migration design principles aligned to SAP Activate • Provide architectural guidance in Fit-to-Standard workshops for data domains • Analyze the SAP Simplification List to identify deprecated objects, mandatory conversions, and architectural changes • Architect master data solutions adhering to Clean Core / ABAP Cloud extensibility frameworks • Design modern data exposure and consumption models leveraging Core Data Services (CDS) Views and the SAP Business Technology Platform (BTP) ecosystem • Lead the architectural design and structural alignment of Finance master data for S/4HANA • Establish and maintain standard data models for Business Partner, Material, and Finance domains to ensure cross-functional data integrity • Select and architect the data profiling and automated remediation tooling stack • Partner with business data stewards to define data quality KPIs and validation standards

Role Description Please find the below requirement and let me know your interest? - 100% Remote - W2 Role - More than 10 Years of Data Modeling Experience with experience on ERWIN tool. - MUST HAVE HAD EXPERIENCE WITH MULTIPLE FINANCIAL/BANKING CLIENTS. - Experience developing conceptual, logical, and physical data models for databases, data warehouses, and analytics systems. - Experience implementing and maintaining data modeling standards, best practices, and governance policies. Qualifications - More than 10 Years of Data Modeling Experience - Experience with ERWIN tool - Experience with multiple financial/banking clients Requirements - Experience developing conceptual, logical, and physical data models - Experience implementing and maintaining data modeling standards - Experience with best practices and governance policies Company Description Thanks, Jagdish | Manager - IT Staffing T (443)-489-4433 | Jagdish@polarits.com 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 Note: If you have received this message in error, please notify us immediately by reply e-mail so that we may correct our internal records. Please then delete the original message (including any attachments) in its entirety. Thank you.

Role Description Oxford Client is building a new Planning System and needs a Data Engineer to assist. Qualifications - Strong experience in data engineering and pipeline development in enterprise environments. - Advanced SQL skills, including complex joins, window functions, and performance optimization. - Experience with cloud data platforms, data lakes, and curated analytical layers. - Proficiency in Python or similar scripting languages for data transformation and automation. - Hands-on experience integrating data from SAP or other ERP systems. - Solid understanding of data modeling, including dimensional and time series data. Requirements - Experience implementing data quality checks, validations, and monitoring. - Understanding of data governance, access controls, and regulatory or audit considerations. - Familiarity with supply chain and planning concepts, including demand forecasting, supply planning, inventory management, and capacity planning. - Understanding of planning KPIs such as forecast accuracy and bias, service levels, inventory turns, and cost tradeoffs. - Experience supporting planning, optimization, or decision support systems is highly desirable. Benefits - Exposure to Advanced Planning / Supply Chain Planning platforms (e.g., Kinaxis, OMP, SAP IBP, Blue Yonder). - Experience supporting scenario modeling, simulation, or optimization engines. - Experience in global manufacturing or high mix, low volume environments.

Role Description We are seeking a Senior Data Engineer who is a self-starter to work in a diverse and fast-paced environment as part of our Capital Markets Data Engineering team. This individual contributor role is responsible for designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns. This is a global role that requires partnering with the broader JLLT team at the country, regional, and global levels by utilizing in-depth knowledge of data, infrastructure, technologies, and data engineering experience. Responsibilities - Technical Development - Design and implement robust, scalable data pipelines using Databricks, Apache Spark, and Delta Lake as well as BigQuery. - Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms. - Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance. - Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers. - Create automated tests and integrate them into testing frameworks. - Platform Engineering - Configure and optimize Databricks workspaces, clusters, and job scheduling. - Work in a Multi-cloud environment including Azure, GCP, and AWS. - Implement security best practices including access controls, encryption, and audit logging. - Build integrations with market data vendors, trading systems, and risk management platforms. - Establish monitoring and performance tuning for data pipeline health and efficiency. - Collaboration & Mentorship - Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs. Qualifications - Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred). - Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments. Requirements - Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects. - Strong Databricks experience. - Advanced database/backend testing with the ability to write complex SQL queries for data validation and integrity. - Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation. - Experience with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., Google BigQuery, Snowflake). - Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP). - Experience working in DevOps model. - Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines. - Proficiency in object-oriented programming and software design patterns. - Familiarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks. Core Competencies - Strong problem-solving skills and ability to analyze complex data processing issues. - Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. - Attention to detail and commitment to delivering high-quality, reliable data solutions. - Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment. Location Remote – Jalisco, MEX Benefits - If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. - We’re interested in getting to know you and what you bring to the table!