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azure data warehouse engineer

DICETEK LLC

<div><p>As a Data Integration &amp; Architecture Specialist, you will be a pivotal member of our data engineering and architecture team. You will play a crucial role in designing, implementing, and optimizing data integration solutions using data warehouse technologies. This position demands a strong understanding of Azure and Data warehouse solutions, data architecture principles, and the ability to design and administer robust data ecosystems.
</p><p><b>Primary skills:
</b></p><ul><li>Azure, Delta Lake, Data Factory, DataBricks, Python/PySpark
</li><li>SAS DWH<br>
</li></ul><p></p><br>
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Should have at least 4 years of experience in data engineering.
</li><li>Should possess at least 3 years of UAE banking experience.
</li><li>Candidates with Azure data products and data warehouse experience will be preferred
</li><li>Strong understanding of data warehousing concepts, ETL processes, and data governance.
</li><li>Knowledge of SQL for data manipulation and querying.
</li><li>Excellent problem-solving and troubleshooting skills.
</li><li>Strong communication and collaboration skills.
</li></ul><p><b>Certifications (Preferred):
</b></p><ul><li>Certified Data Integration Developer
</li><li>Azure Data Engineering Associate</li></ul></div><p></p>

Azure Data (warehouse) Engineer

Healthsoft Middle East

<p><b>Senior Data Engineer </b></p><ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul><p>Job Type: Full-time</p>

Senior Data Engineer

Acenet consulting

<p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br/>We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p><p><b>Job Summary:</b><br/>We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.</p><p><b>Key Responsibilities:</b></p><ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul><p><b>Role Requirements and Qualifications:</b></p><ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul><p><b>Why Join Us:</b></p><ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul><p><b>How to Apply:</b><br/>If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p><p>Job Types: Full-time, Permanent</p><p>Experience:</p><ul><li>Decision Making: 3 years (Preferred)</li><li>Data Architecture: 7 years (Preferred)</li></ul>

Senior Data Architect (Enterprise Modernization & Analytics)

Contango

<div><p><b>About the Data &amp; AI Hub</b><br>
<br>
At Data &amp; AI Hub we&rsquo;re unlocking cross-portfolio value through a centralized data platform and AI-powered solutions that drive efficiency, profitability, and innovation across our operating companies. Aligned with the UAE&rsquo;s bold vision for AI leadership, Data &amp; AI Hub is shaping the future of data-driven governance, building the next generation of AI products with both regional and global impact<br>
<br>
<b>About the Role</b></p>
<p>We are seeking a DevOps / Platform Engineer whose primary goal is to be a force multiplier for our product and engineering teams. This role is not just about maintaining infrastructure; it's about supercharging our development lifecycle by focusing on developer experience, ease of deployment, and overall platform hygiene. You will be the champion for our internal development platform, maturing our existing systems (GitHub Actions, Terraform) and leading the charge in adopting modern tooling (e.g. CircleCI, Pulumi).</p><p><b><br>
Key Responsibilities</b></p><ul>
<li>
Elevate our developer experience by creating and refining frictionless CI/CD pipelines (GitHub Actions, CircleCI) that enable easy, frequent, and safe deployments.</li>
<li>Champion platform hygiene and automation through best-in-class Infrastructure as Code (IaC) practices using Terraform and/or Pulumi</li>
<li>Engineer a scalable and resilient cloud infrastructure on Microsoft Azure, providing a robust foundation for our products with a focus on App Service, Azure Kubernetes Service (AKS), and complex VPC configurations</li>
<li>Ensure platform reliability and enable proactive issue resolution by implementing sophisticated observability solutions with Azure Monitor and Azure Sentinel</li>
<li>Automate operational tasks and workflows using Bash and a programming language like Python or TypeScript</li>
<li>Act as a key partner to engineering teams, deeply understanding their workflows to remove friction and boost productivity</li>
<li>Enforce and improve Git best practices to ensure a clean and efficient version control history</li>
</ul><p>
Requirements</p><ul>
<li>
Strong, hands-on experience with Microsoft Azure, specifically with App Service, AKS, and VPC networking</li>
<li>Proficiency in Infrastructure as Code (IaC) with Pulumi and/or Terraform</li>
<li>Demonstrated experience building and managing CI/CD pipelines (e.g., GitHub Actions, CircleCI)</li>
<li>Expertise in Bash scripting</li>
<li>Proficiency in at least one programming language, such as Python or TypeScript</li>
<li>Experience with observability tools (e.g., Azure Monitor, Azure Sentinel)</li>
<li>A deep understanding of Git workflows and best practices</li>
</ul><p><b>
Nice-to-Haves</b></p><ul>
<li>
Experience with Databricks Asset Bundles.</li>
<li>Knowledge of GitOps principles and tools.</li>
<li>Familiarity with FinOps for cloud cost management.
</li></ul><p><b>Key Technologies</b></p><ul>
<li>
Terraform</li>
<li>Pulumi</li>
<li>CI/CD principles</li>
<li>Azure DevOps</li>
<li>Visual Studio Code</li>
<li>Git/GitHub Enterprise</li>
<li>Kubernetes</li>
<li>PowerShell</li>
<li>Familiar with deployment methods and mechanism</li>
<li>Python scripting (good to have)</li>
</ul><p><b>
Disclaimer:</b></p><p>
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</p></div>

Senior DevOps Engineer

CloudJune Technologies LLC

<p><b>Job Summary</b></p><p>As a <b>Senior Data Engineer</b>, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.</p><p><b>What You'll Do:</b></p><p>&#9679; <b>Design, build, and maintain scalable and reliable data pipelines</b> for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).</p><p>&#9679; <b>Architect and implement data warehousing and data lake solutions</b> on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.</p><p>&#9679; <b>Develop and optimize ETL/ELT processes</b> using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.</p><p>&#9679; <b>Implement and manage data governance policies and procedures</b>, ensuring data security, compliance with government regulations, and adherence to data quality standards.</p><p>&#9679; <b>Collaborate with Data Scientists and AI Engineers</b> to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.</p><p>&#9679; <b>Work closely with AIOps/MLOps Engineers</b> to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.</p><p>&#9679; <b>Design and implement data monitoring and alerting systems</b> to proactively identify and resolve data quality issues and pipeline failures.</p><p>&#9679; <b>Optimize data storage and retrieval systems</b> for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).</p><p>&#9679; <b>Implement data security measures</b> including access control, encryption, and data masking to protect sensitive government data.</p><p>&#9679; <b>Develop and maintain data catalogs and data lineage solutions</b> to ensure data discoverability, understand data flow, and facilitate data governance.</p><p>&#9679; <b>Evaluate and adopt new data engineering tools and technologies</b> to continuously improve our data infrastructure and processes.</p><p>&#9679; <b>Troubleshoot and resolve data-related issues</b> across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.</p><p>&#9679; <b>Document data pipelines, data models, and data engineering processes</b> clearly and concisely for both technical and non-technical stakeholders.</p><p><b>What You'll Bring:</b></p><p>&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.</p><p>&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.</p><p>&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.</p><p>&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).</p><p>&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).</p><p>&#9679; Strong proficiency in SQL and experience with various database systems, including:</p><p>&#9675; <b>Relational Databases:</b> (e.g., PostgreSQL, SQL Server, Azure SQL Database).</p><p>&#9675; <b>NoSQL Databases:</b> (e.g., MongoDB, Cassandra, Azure Cosmos DB).</p><p>&#9675; <b>Vector Databases:</b> (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).</p><p>&#9675; <b>Graph Databases:</b> (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).</p><p>&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.</p><p>&#9679; Experience with data governance frameworks, data quality management, and data security principles.</p><p>&#9679; Experience with data monitoring and alerting tools.</p><p>&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.</p><p>&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.</p><p>&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.</p><p><b>Bonus Points For:</b></p><p>&#9679; Experience with data virtualization technologies.</p><p>&#9679; Experience with building real-time data pipelines.</p><p>&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).</p><p>&#9679; Experience with implementing data mesh concepts.</p><p>&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.</p><p>&#9679; Certifications in relevant cloud platforms or data engineering technologies.</p><p>&#9679; Experience working with government data regulations and compliance standards.</p><p>Job Type: Full-time</p><p>Pay: From AED20,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul><p>License/Certification:</p><ul><li>Emirates ID (Required)</li></ul>

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Manage and optimize data platforms (Databricks, Palantir).
</p></div><div><p>Ensure high availability, security, and performance of data systems.
</p></div><div><p>Provide valuable insights about data platform usage.
</p></div><div><p>Optimize computing and storage for large-scale data processing.
</p></div><div><p>Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
</p></div><div><p>Optimize ETL Processes
</p></div><div><p>Enhance and tune existing ETL processes for better performance, scalability, and reliability.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum 10 Years of experience in IT/Data.
</p></div><div><p>Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
</p></div><div><p>Bachelor's in IT or related field.
</p></div><div><p>Infrastructure &amp; Cloud: Azure, AWS (expertise in storage, networking, compute).
</p></div><div><p>Data Platform Tools: Any of Palantir, Databricks, Snowflake.
</p></div><div><p>Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
</p></div><div><p>SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
</p></div><div><p>Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
</p></div><div><p>ETL Tools: Familiarity with ETL tools &amp; processes
</p></div><div><p>Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
</p></div><div><p>Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
</p></div><div><p>Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
</p></div><div><p>Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.
</p></div></div><p>Nice to have
</p><div><div><p>Containerization &amp; Orchestration: Docker, Kubernetes.
</p></div><div><p>Infrastructure as Code (IaC): Terraform.
</p></div><div><p>Understanding of Investment Data domain (desired).
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118657
</p></div><div></div><div><div><p>DWH Development
</p></div><div><p>BCM Industry</p>
</div><div><p>29/10/2025
</p></div><div><p>Req. VR-118657</p></div></div></div><p></p>

Lead Data Platform Engineer/Architect

Mindstream

<p>SAP Data sphere Expert for <b>Qatar </b>(Oracle EBS to S/4HANA Transformation)</p><p><b>Role Overview</b></p><p>We are seeking an experienced <b>SAP Datasphere Expert</b> to support our transformation program migrating from <b>Oracle E-Business Suite R12 to SAP S/4HANA</b>. The role will focus on bridging data gaps between Oracle and SAP, enabling <b>reporting (management and statutory)</b>, and supporting <b>IFRS-based allocations and compliance reporting</b>. The candidate will work closely with functional, technical, and finance teams to design, implement, and optimize data models, ensuring data accuracy and reporting readiness throughout the program.</p><p><b>Key Responsibilities</b></p><ul><li><b>Data Integration &amp; Migrations</b></li><li>Assess and design <b>data mapping</b> between Oracle EBS R12 and SAP S/4HANA.</li><li>Configure and optimize <b>SAP Datasphere</b> for extracting, transforming, and harmonizing legacy Oracle data into S/4HANA.</li><li>Support <b>data cleansing, enrichment, and validation</b> to ensure data quality for reporting and analytics.</li><li><b>Reporting &amp; Analytics</b></li><li>Develop <b>management reporting dashboards</b> and <b>statutory/financial reports</b> using SAP Data sphere, SAP Analytics Cloud (SAC), or other relevant reporting tools.</li><li>Implement <b>IFRS allocation models</b> and ensure compliance with <b>local GAAP and statutory reporting requirements</b>.</li><li>Collaborate with finance and business stakeholders to define KPIs and reporting structures.</li><li><b>Gap Analysis &amp; Solution Design</b></li><li>Identify <b>gaps</b> between Oracle EBS legacy data structures and SAP S/4HANA reporting requirements.</li><li>Recommend and implement <b>data modeling solutions</b> in SAP Datasphere to bridge these gaps.</li><li>Ensure alignment with <b>SAP best practices</b> for data management and analytics.</li><li><b>Collaboration &amp; Stakeholder Management</b></li><li>Partner with SAP functional consultants (FI/CO, Group Reporting, Controlling, etc.) to align reporting structures.</li><li>Support <b>business stakeholders</b> in adopting new reporting capabilities.</li><li>Liaise with external vendors and internal IT teams to ensure smooth delivery.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li><b>Core Expertise</b></li><li>Proven experience with <b>SAP Datasphere (SAP Data Warehouse Cloud)</b> including data modeling, integration, and consumption.</li><li>Strong background in <b>data migration and reporting</b> from <b>Oracle EBS (R12)</b> to <b>SAP S/4HANA</b>.</li><li>Hands-on experience with <b>SAP Analytics Cloud (SAC)</b> for reporting and visualization.</li><li>Understanding of <b>IFRS and statutory reporting</b> processes (Group Reporting, Consolidation, Allocations).</li><li><b>Technical Skills</b></li><li>Knowledge of <b>ETL processes</b>, data harmonization, and transformation logic.</li><li>Proficiency in <b>SQL, data modeling, and integration technologies</b> (ODP, SDI, APIs).</li><li>Experience with <b>SAP S/4HANA Finance (FI/CO) data structures</b> and reporting tools.</li><li>Familiarity with <b>Oracle EBS R12 data model</b>, especially finance and controlling modules.</li><li><b>Functional Knowledge</b></li><li>Understanding of <b>finance and accounting processes</b> (GL, AP, AR, FA, CO).</li><li>Exposure to <b>statutory and management reporting requirements</b> across multiple geographies.</li><li>Experience in <b>financial consolidations</b> and <b>allocation models</b>.</li><li><b>Other Requirements</b></li><li>8+ years of experience in <b>data &amp; reporting roles</b>, with at least 3+ years in <b>SAP Datasphere/SAC</b>.</li><li>Prior involvement in <b>ERP transformation/migration projects (Oracle &rarr; SAP)</b> preferred.</li><li>Strong communication and stakeholder management skills.</li><li>Ability to work in a cross-functional and global team environment.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with <b>SAP Group Reporting</b> or <b>BPC (Business Planning &amp; Consolidation)</b>.</li><li>Familiarity with <b>local statutory compliance reporting tools</b>.</li><li>Knowledge of <b>cloud integration platforms (CPI, Azure, etc.)</b>.</li><li>Exposure to <b>data governance and security best practices</b>.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How many years of experience do you have working with SAP Datasphere (or SAP Data Warehouse Cloud)?</li><li>How many years of experience do you have with SAP Analytics Cloud (SAC)?</li><li>Have you worked on any Oracle EBS to SAP S/4HANA migration or transformation projects?</li><li>Do you have experience in data modeling, integration, and reporting in SAP Datasphere?</li><li>Do you have hands-on experience with SAP S/4HANA Finance (FI/CO) data structures?</li><li>Have you been involved in ERP transformation or migration projects?</li><li>What is your current and expected salary? Notice period?</li></ul>

SAP Datasphere Expert (Oracle EBS to S/4HANA Transformation)

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Azure Data (warehouse) Engineer

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Senior Data Engineer

Lead Data Platform Engineer/Architect

SAP Datasphere Expert (Oracle EBS to S/4HANA Transformation)