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Morgan Stanley

<div>
 Data Engineer Python - Associate- Software Engineering
 
 
 We&rsquo;re seeking someone to join our Institutional Securities Technology team as a Data Engineer Python, in Prime Brokerage AND Institutional Equity . The Prime Brokerage Technology team works very closely with the business to provide cutting-edge technology, expertise and products to the business. MSPB Client Reporting Technology is currently working on modernizing client reporting platform. The work provides high visibility and opportunities to learn the business. To this end, we are in the process of recruiting a highly motivated and talented data engineer developer. Responsibilities include requirements analysis, implementing quick reporting solutions with on-going renovation reporting platform applications, validation of data, user &amp; job support. We expect the candidate to have an interest in the financial business. This is a great opportunity for learning about a high growth, industry leading business, while fully utilizing your database and reporting technology programming skills.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
 
 
 This is Associate position that develops and maintains software solutions that support business needs.
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Working with business users to understand requirements, analyze them in detail and write clear specs and convert them into technical design
 </li>
 <li>
 Implementing data and reporting solutions
 </li>
 <li>
 Enhancing existing solutions to meet new requirements
 </li>
 <li>
 Addressing ad-hoc requests by leveraging existing tools and infrastructure or implementing
 </li>
 <li>
 Investigate, resolve and provide feed-back on data-quality issues
 </li>
 <li>
 Providing L3 production support
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 Experience in development of reporting systems
 </li>
 <li>
 Knowledge in one or all of these
 </li>
 <li>
 Relational Databases (Sybase, DB2, Snowflake) (Mandatory)
 </li>
 <li>
 PL/SQL and Stored Procedures (Mandatory)
 </li>
 <li>
 Python (Mandatory)
 </li>
 <li>
 Java (Optional)
 </li>
 <li>
 Analytical, debugging and problem-solving skills
 </li>
 <li>
 Team player; highly motivated; excellent communication skills
 </li>
 <li>
 Years of experience 3-5 years
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Engineer Python- Associate- Software Engineer

Cognite

<div>
 Cognite operates at the forefront of
 
 industrial digitalization, building AI
 
 and data solutions that solve some of the world&rsquo;s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
 
 
 Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
 
 
 What Cognite is Relentless to achieve
 
 
 We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you&rsquo;ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
 
 
 How you&rsquo;ll demonstrate
 
 Ownership
 
 
 
 The One Cognite Customer Support team is a globally distributed group of technical
 
 
 experts including Support Data Engineers, Support Solution Architects, and Support
 
 
 Specialists focused on ensuring customer support and success.
 
 
 We deliver high-quality support across four tiers of enterprise-grade customer
 
 
 support service from maintaining stable day-to-day operations to proactive
 
 
 monitoring, strategic alignment, and customer cases/issue resolution. Our mission is to
 
 
 enable customers to get the most value from Cognite Data Fusion by ensuring their
 
 
 deployments run reliably and efficiently at scale.
 
 
 
 About The Role
 
 
 
 We are seeking a Senior Data Engineer-Support with a strong blend of data and software
 
 
 engineering skills. You will be responsible for supporting production environments,
 
 
 troubleshooting customer deployments, and implementing proactive monitoring and
 
 
 operational improvements.
 
 
 This role requires both deep technical capabilities and a customer-first mindset, with a
 
 
 focus on resolving issues efficiently, maintaining system stability, and driving continuous
 
 
 improvement. You&rsquo;ll play a critical part in supporting 24/7 operational readiness in
 
 
 collaboration with global teams.
 
 
 Troubleshooting Issues &amp; Customer Support
 
 
 <ul>
 <li>
 Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality.
 </li>
 <li>
 Work closely with customer teams to understand production incidents, reproduce issues, and implement reliable fixes or workarounds.
 </li>
 <li>
 Analyze data failures, system errors, and unexpected behaviours across API integrations, custom code, and third-party data sources.
 </li>
 <li>
 Maintain and improve the reliability and performance of existing data pipelines by proactively identifying bottlenecks, configuration mismatches, or usage anomalies.
 </li>
 <li>
 Collaborate with engineering and product teams to escalate platform issues, suggest improvements, and contribute to long-term resolutions.
 
 
 </li>
 </ul>
 Advanced and Enterprise-Level Support
 
 
 <ul>
 <li>
 Serve as the technical point of contact for customer support cases, particularly complex and high-priority issues.
 </li>
 <li>
 Perform in-depth troubleshooting and diagnostics, including custom code reviews and third-party data source integrations.
 </li>
 <li>
 Engage in regular case reviews, root cause analyses, and progress updates aligned with customer SLAs.
 </li>
 <li>
 Participate in on-call rotations to ensure 24/7 coverage and rapid response to critical issues.
 </li>
 <li>
 Implement and manage proactive monitoring and alerting systems to detect and address issues before they escalate.
 
 
 </li>
 </ul>
 Customer Enablement &amp; Knowledge Sharing
 
 
 <ul>
 <li>
 Create clear documentation, &ldquo;how-to&rdquo; guides, and knowledge base articles to accelerate issue resolution and reduce repeat tickets.
 </li>
 <li>
 Work closely with internal product and engineering teams to relay customer feedback and prfioritize product improvements.
 
 
 </li>
 </ul>
 The Impact you bring to Cognite
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related fields.
 </li>
 <li>
 3+ years in a data-intensive, customer-facing role with experience in technical support in a SaaS or Data platform environment, ideally in a Tier 2/3 or engineering-focused support function.
 </li>
 <li>
 Strong programming skills in Python and SQL; experience working with REST APIs.
 </li>
 <li>
 Familiarity with cloud platforms (Azure, GCP), Kubernetes, and CI/CD tools.
 </li>
 <li>
 Experience maintaining production-grade data pipelines and workflows in live customer environments.
 </li>
 <li>
 Knowledge of industrial data systems or domains such as Oil &amp; Gas, Power, or Manufacturing is a plus.
 </li>
 <li>
 Experience with tools like Grafana, Power BI, or GraphQL is a bonus.
 </li>
 <li>
 Strong problem-solving and troubleshooting skills.
 </li>
 <li>
 Excellent English communication skills and a customer-centric mindset.
 
 
 </li>
 </ul>
 
 
 Equal Opportunity
 
 
 
 
 
 Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
 
</div>

Senior Data Engineer - Value Support Engineering

Allucent

<div>
 
 The Senior / Principal Data Engineer will design, develop, and maintain scalable data platform and analytics solutions across data lakes and operational databases. This role requires hands-on expertise in Azure Databricks, Azure SQL, Python/PySpark, Notebooks, with a strong understanding of data modeling, ETL/ELT best practices, and CI/CD automation in Azure DevOps. The ideal candidate will have a proven record of building robust, efficient, and secure data pipelines that enable analytics, reporting, and AI/ML solutions, preferably in life sciences, clinical research, or healthcare domains.&nbsp;
 
 
 
 
 Requirements
 
 
 
 
 
 Data Architecture &amp; Engineering&nbsp;
 
 <ul>
 <li>
 Design and implement end-to-end data pipelines using Azure Databricks, Azure Data Factory, and ADLS Gen2.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Build scalable and performant data models for data lakes (Medallion architecture), data warehouses, and operational systems.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Develop ELT/ETL frameworks for ingestion from APIs, relational sources, flat files, and third-party systems (e.g., Dynamics 365, Veeva, EDC).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Optimize data transformations, partitioning, and delta lake performance for analytics workloads.&nbsp;
 </li>
 </ul>
 
 Data Integration &amp; Automation&nbsp;&nbsp;
 
 <ul>
 <li>
 Leverage Python and PySpark for data ingestion, cleansing, enrichment, and advanced transformations.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Implement CI/CD pipelines for data workflows using Azure DevOps and Git, including automated testing, deployment, and monitoring.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Develop and integrate RESTful APIs for cross-system data exchange and automation.&nbsp;
 </li>
 </ul>
 
 Analytics Enablement&nbsp;
 
 <ul>
 <li>
 Collaborate with the BI team to ensure clean, high-quality, and accessible data for the Power BI platform.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Support semantic modeling, metric layer design, and data governance best practices.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Enable advanced analytics by provisioning data for ML/AI initiatives and predictive insights.&nbsp;
 </li>
 </ul>
 
 Cross Functional Collaboration&nbsp;
 
 <ul>
 <li>
 Collaborate with product/system owners, analysts, and business stakeholders to translate analytical requirements into technical data solutions.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Drive best practices in Agile development, version control, and DevOps workflows.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 Education Requirements and Qualifications&nbsp;
 
 
 
 Qualifications&nbsp;&nbsp;
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).&nbsp;&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Minimum 5-8 years of relevant experience building and maintaining data solutions (data lakes, data warehouses, operational databases).&nbsp;&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Expert-level proficiency in Azure Databricks, PySpark, SQL, and Azure DevOps.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM or Terraform).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Experience with Power BI or similar analytics platforms (Tableau, Looker) required; experience with Snowflake, Redshift, or Synapse Analytics is a plus.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Strong analytical, debugging, and performance-tuning skills.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Experience in life sciences or healthcare industries is a strong plus.&nbsp;
 </li>
 </ul>
 
 Skills&nbsp;
 
 
 Core expertise: Expert-level in Databricks, PySpark, SQL, and Azure DevOps&nbsp;
 
 
 Data engineering: Data modeling, Delta Lake optimization, ETL/ELT design, distributed processing.&nbsp;
 
 
 Integration &amp; Automation: Azure Data Factory, REST APIs, CI/CD pipelines, Git branching strategies.&nbsp;
 
 
 Analytics &amp; BI: Power BI (Tableau), semantic layer design, DAX/SQL tuning.&nbsp;
 
 
 Cloud &amp; DevOps: Azure ecosystem (ADF, ADLS, Azure SQL, Synapse), Infrastructure as Code&nbsp;
 
 
 Data Governance &amp; Quality: Metadata management, data validation frameworks, logging and monitoring.&nbsp;
 
 
 Soft skills: Good communication, mentoring, Agile teamwork, analytical thinking, collaboration.&nbsp;
 
 
 &nbsp;
 
</div>

Data Developer

Microsoft

<div>
 
 Overview
 
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.The Azure Data SQL Core Team is looking for a Software Engineer II with a passion for technology, performance and helping customers succeed on our platform by building the next set of industry-leading features and capabilities. SQL Core team works on key Azure SQL Database operating system capabilities (scheduling, memory management, locking, synchronization ...) with a focus on driving product performance and reducing TCO. We seek engineers who have experience in operating systems, hardware architectures (Intel, AMD, ARM), persistent memory technologies, performance and scalability on Windows and Linux. Engineers in SQL Core team will define and implement the next set of technologies, build new solutions and enable a new set of experiences for enterprise and cloud customers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Spearheading prototype projects to swiftly assess design concepts Identifying and driving prototype projects for quick evaluation of design ideas.
 </li>
 <li>
 Contributing to current and future product improvements around performance (perf/scale/SLA)
 </li>
 <li>
 Identifying improvements in supportability and customer self-diagnostics that enable live monitoring with focus on identifying/addressing performance related issues
 </li>
 <li>
 Obsessed with customers, making data-driven decisions, and using telemetry collected from customers and production systems
 </li>
 <li>
 Embody our culture and values
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications:
 
 
 
 <ul>
 <li>
 3+ years of experience designing and developing production quality software.
 </li>
 <li>
 Strong design, implementation, and communication skills
 </li>
 <li>
 Proficiency with C++, and/or C#, solid knowledge of SQL
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Extensive and specialized knowledge in one or more of the following areas: Database/OS internals, Big Data technologies, Hardware knowledge (CPU/System/Networking/Storage..), and Cloud related technologies - Methodical problem-solving, interpersonal, and communication skills
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer II

Arcadis

<div>
 Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
 
 
 We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.
 
 
 
 Qualification &amp; Experience:
 
 
 
 <ul>
 <li>
 Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
 </li>
 <li>
 Technical Responsibilities &ndash;
 </li>
 <ul>
 <li>
 Excellent proficiency in Python, with a strong focus on developing advanced skills.
 </li>
 <li>
 Extensive exposure to NLP and image processing concepts.
 </li>
 <li>
 Proficient in version control systems like Git.
 </li>
 <li>
 In-depth understanding of Azure deployments.
 </li>
 <li>
 Expertise in OCR, ML model training, and transfer learning.
 </li>
 <li>
 Experience working with unstructured data formats such as PDFs, DOCX, and images. O
 </li>
 <li>
 Strong familiarity with data science best practices and the ML lifecycle.
 </li>
 <li>
 Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
 </li>
 <li>
 Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
 </li>
 </ul>
 <li>
 Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark.
 </li>
 <li>
 Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
 </li>
 <li>
 Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
 </li>
 <li>
 Software Development: Leading the development of reusable, version-controlled code under minimal supervision.
 </li>
 <li>
 Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks.
 
 
 </li>
 </ul>
 
 Principal Duties &amp; Key Responsibilities:
 
 
 
 <ul>
 <li>
 Leading data extraction from multiple sources, including PDFs, images, databases, and APIs.
 </li>
 <li>
 Driving optical character recognition (OCR) processes to digitize data from images.
 </li>
 <li>
 Applying advanced natural language processing (NLP) techniques to understand complex data.
 </li>
 <li>
 Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
 </li>
 <li>
 Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services.
 </li>
 <li>
 Collaborating closely with business domain experts to identify and drive key business value drivers.
 </li>
 <li>
 Documenting model design choices, algorithm selection processes, and dependencies.
 </li>
 <li>
 Effectively collaborating in cross-functional teams within the CoE and across the organization.
 </li>
 <li>
 Proactively seeking opportunities to contribute beyond assigned tasks.
 
 
 </li>
 </ul>
 
 Required Competencies:
 
 
 
 <ul>
 <li>
 Exceptional communication and interpersonal skills.
 </li>
 <li>
 Proficiency in Microsoft Office 365 applications.
 </li>
 <li>
 Ability to work independently, demonstrate initiative, and provide strategic guidance.
 </li>
 <li>
 Strong networking, communication, and people skills.
 </li>
 <li>
 Outstanding organizational skills with the ability to work independently and as part of a team.
 </li>
 <li>
 Excellent technical writing skills.
 </li>
 <li>
 Effective problem-solving abilities.
 </li>
 <li>
 Flexibility and adaptability to work flexible hours as required.
 
 
 </li>
 </ul>
 
 Key competencies / Values:
 
 
 
 <ul>
 <li>
 Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
 </li>
 <li>
 Excellence: Striving for excellence defined by clients, delivering high-quality work.
 </li>
 <li>
 Trust: Building and retaining trust with clients, colleagues, and partners.
 </li>
 <li>
 Teamwork: Collaborating effectively to achieve collective success.
 </li>
 <li>
 Responsibility: Taking ownership of performance and safety, ensuring accountability.
 </li>
 <li>
 People: Creating an inclusive environment that fosters individual growth and development.
 
 
 </li>
 </ul>
 Why Arcadis?
 
 
 We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
 
 
 You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.
 
 
 Together, we can create a lasting legacy.
 
 
 Join Arcadis. Create a Legacy.
 
 
 Our Commitment to Equality, Diversity, Inclusion &amp; Belonging
 
 
 We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.
 
 
</div>

Consultant Data Science

<div>
 
 Role Description
 
 
 
 Role Proficiency:
 
 
 Consultant working with stakeholders at every level of the organization soliciting strategic imperatives from senior leaders and executives; supporting business unit managers as they leverage business architecture and product development artifacts to create and implement client business plans
 
 
 
 Outcomes
 
 
 
 <ul>
 <li>
 Works with stakeholders at every level of the organization soliciting strategic imperatives from senior leaders and executives; supporting business unit managers as they leverage business architecture and product development artifacts to create and implement client business plans.
 </li>
 <li>
 Provide direct input into the governance cycle that supports the achievement of key goals planning and execution of various scenarios and delivery of bottom line value to the business
 </li>
 <li>
 Help client business and leadership team with problem definition
 </li>
 <li>
 Lead business and technology consulting projects to deliver client objectives
 </li>
 <li>
 Perform assessments of client business processes organizational change IT processes and technology landscape; identifying transformational recommendations
 </li>
 <li>
 Develop a business and technical architecture strategy based on situational awareness of various business scenarios and motivations.
 </li>
 <li>
 Apply a structured business architecture approach and methodology for capturing key views of the enterprise.
 </li>
 <li>
 Guide a team to capture the tactical and strategic enterprise goals that provide traceability through the organization; and are mapped to metrics that provide ongoing governance.
 </li>
 <li>
 Guide a team to describe the primary business functions of the enterprise and distinguish between customer-facing supplier-related business execution and business management functions.
 </li>
 <li>
 Guide a team to define the set of strategic core and support processes that transcend functional and organizational boundaries; identify and describe external entities such as customers suppliers and external systems that interact with the business. Identify which people resources and controls are involved in the processes.
 </li>
 <li>
 Guide a team to define the data shared across the enterprise and the relationships between the data.
 </li>
 <li>
 Guide a team to capture the relationships among roles capabilities and business units the decomposition of those business units into subunits and the internal or external management of those units.
 
 
 </li>
 </ul>
 
 Measures Of Outcomes
 
 
 
 <ul>
 <li>
 Transformational value delivered to customer
 </li>
 <li>
 Utilization in billable roles
 </li>
 <li>
 Customer feedback
 </li>
 <li>
 Number of certifications obtained
 </li>
 <li>
 Number of reusable components designed for CoEs
 
 
 </li>
 </ul>
 
 Outputs Expected
 
 
 
 Design and Implementation Support:
 
 
 <ul>
 <li>
 Understand the business requirements from the analyst and create a mapping document if required (specific to integration)
 </li>
 <li>
 Evaluate technical requirements (e.g. number of interfaces required maps required for each interface etc.); understand the design concepts to be used
 </li>
 <li>
 Study the best practices for design and jointly design the solution; review the design for potential flaws; verify the design with CoE
 
 
 </li>
 </ul>
 
 Practice Development
 
 
 
 <ul>
 <li>
 Provide feedback on current gaps with internal processes that can be improved
 
 
 </li>
 </ul>
 
 Knowledge Management
 
 
 
 <ul>
 <li>
 Identify best practices tools and solution accelerators for products in the solution area; bring in the existing solution accelerators reusable assets etc.
 </li>
 <li>
 Review the solutions and identify opportunity to create reusable assets solution accelerators etc.
 </li>
 <li>
 Stay up to date with new developments in the product and technology solution area under purview
 </li>
 <li>
 Analyze the best in class solutions and design aspects track industry trends and draw insights
 
 
 </li>
 </ul>
 
 Solution Development
 
 
 
 <ul>
 <li>
 Build understanding of new solutions and develop delivery capability
 </li>
 <li>
 Assist in creation of new solutions by providing inputs and insights
 
 
 </li>
 </ul>
 
 Product Selection
 
 
 
 <ul>
 <li>
 Collaborate with the product selection group to identify the best suited product to meet the project requirements; provide inputs on product features as required
 
 
 </li>
 </ul>
 
 Technology Consulting Advisory
 
 
 
 <ul>
 <li>
 Engage with client stakeholders during advisory engagements
 </li>
 <li>
 Gather information relevant to the client's context and conduct detailed analysis using technology solution frameworks
 </li>
 <li>
 Lead consulting team to deliver to client&rsquo;s expectations
 </li>
 <li>
 Seek guidance from Consulting Manager as required
 </li>
 <li>
 Arrive at draft recommendations based on analysis
 </li>
 <li>
 Provide thought leadership on implementation of specific technology
 </li>
 <li>
 Engage with client stakeholders
 
 
 </li>
 </ul>
 
 Alliance Management
 
 
 
 <ul>
 <li>
 Engage with the technology specialists of the product vendor to identify ways to leverage the product
 
 
 </li>
 </ul>
 
 Skill Examples
 
 
 
 <ul>
 <li>
 Uses Domain / Industry knowledge to contextualize the solution to the industry assess the domain specific risks to the solution review the business requirements captured and assess the gap. P in business requirement workshops to generate ideas w.r.t domain specific KPIs reporting requirements etc.
 </li>
 <li>
 Use COTS Product Features / Functionality knowledge to understand the technical/functional dependencies of the product work flow/custom component (native and outside product). Independently analyze the customizations completed and required to the base product applying the best practices in her/her own area of work. Impart training on the various functional modules of the product or custom components/solutions provided configure or change a module/change custom code in the product independently
 </li>
 <li>
 Uses Competitive Products Landscape knowledge to relate how the same business events are handled in different products; leverage reusable solutions across products
 </li>
 <li>
 Uses Different Implementations knowledge to relate own area of work to the big picture of the project. Expand the approach for the specific functionality and highlight potential gaps and risks as necessary
 </li>
 <li>
 Uses Technology Concepts knowledge to identify technical risk and define mitigation strategies during coding. Validate review and make recommendation to complex queries recommending appropriate framework approach solution to meet the functional and non functional requirements and create HLD for the project. Guide junior team members in creating the LLD create POC to validate new tools and solutions compare and contrast technology landscape options for the customer identify and leverage the most appropriate tools to set up the build environment build training materials and assessments for technologies conduct project training and assist in ramp up
 </li>
 <li>
 Uses specialized knowledge of process consulting to drive changes in customer organization. Conduct workshops independently lead a consulting engagement play the role of a trusted advisor within UST and with clients on process harmonization converting leads to opportunities and coach team members
 </li>
 <li>
 Uses Project Management Tools and Techniques knowledge to plan and manage simple small or medium size projects/ modules as defined within UST. Identify risks and mitigation strategies and implement the same to manage simple small or medium size projects/ modules identify critical path and manage dependencies within a small project
 </li>
 <li>
 Uses Project Governance Framework knowledge to create / customize RACI matrix and governance framework for small or medium size projects. Support development of the communication protocols establish and follow an escalation matrix for small or medium size projects create reporting mechanisms for small / medium projects/ modules as defined within UST
 </li>
 <li>
 Uses Project Metrics knowledge to understand relevance in project collect and collate project metrics and share it with the relevant stakeholders; understand and apply the tools used to track metrics
 </li>
 <li>
 Uses Estimation and Resource Planning knowledge to create estimate and plan resources for specific modules / small projects with detailed requirements in place. Conduct impact analysis for changes and analyze corresponding impact to overall estimates resource loading and MPP (re-baseline)
 </li>
 <li>
 Uses Requirement Gathering and Analysis knowledge to raise ambiguities on requirements shared create requirement management artifacts (such as traceability matrix etc.) provide inputs/ create estimates and solutions (based on the size of the project. Identify impacted areas based on the change requests understand the data and model based on requirements create/review design artifacts apply common requirements repository in context of project/program
 </li>
 <li>
 Uses Solution Structuring knowledge to create customized solution to the problem and present the proposed solution to customer; highlighting the solution benefits and road map to achieve. Carve out simple solution / POC to build confidence in the solution review the proposal for completeness
 </li>
 <li>
 Uses Knowledge Management Tools &amp; Techniques knowledge to leverage existing material/ re-usable assets and enhance in knowledge repository. Independently create and update knowledge artifacts perform skill gap analysis create and track project specific KT plans provide training to others write white papers/ blogs at internal level (if applicable). Write technical documents/ user understanding documents at the end of the project implement KM and KT measurement metrics
 </li>
 <li>
 Uses Technical Standards Documentation &amp; Templates knowledge to create documentation appropriate for the project. Create documentation appropriate for the reusable assets/ best practices/ case studies apply tools and processes that can track compliance to defined technical standards at the project level
 </li>
 <li>
 Uses Pricing &amp; Licensing Models knowledge to conduct pricing exercise for complex projects viz. FP / value-based pricing etc. understand pricing strategies and business models of relevant products solutions or associated services review medium-complex proposals
 
 
 </li>
 </ul>
 
 Knowledge Examples
 
 
 
 <ul>
 <li>
 Domain / Industry: Specialized knowledge of one or more sub-domains within the relevant industry vertical customer business domain and basic knowledge of geography specific business domain and regulations multiple industry standards and regulations and in-depth knowledge of one sources and parameters of industry analytics market/ industry trends / current state
 </li>
 <ul>
 <li>
 COTS Product Features / Functionality: Working knowledge (awareness of functionality of a specific product
 </li>
 <li>
 Competitive Products Landscape: Working knowledge of COTS product and cross-trained in another similar COTS product that support similar business process (including basic knowledge of the competitiveness and UST capability at a high level for the same)
 </li>
 <li>
 Different Implementations: Demonstrates working knowledge of 2 or more different kinds of implementations (upgrade new implementation conversion / migration enhancements maintenance interfaces testing) for a specific product
 </li>
 <li>
 Technology Concepts: Demonstrates specialized knowledge of technology (OS languages applications databases concepts data models etc.) technology landscape
 </li>
 <li>
 Process Consulting: Specialized knowledge of process consulting/harmonization concepts framework (performance management role profiling shared services) process analysis tools and frameworks tools and practices required to model processes (such as Visio BPM Strategy / Roadmap Value Stream Mapping BPM Maturity assessment BPM CoE setup Vendor evaluation Business Rules harvesting)
 </li>
 <li>
 Project Management Tools and Techniques: Demonstrates working knowledge of project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP client specific time sheets tools &amp; processes capacity planning tools etc.)
 </li>
 <li>
 Project Governance Framework: Demonstrates working knowledge of project governance framework RACI matrix
 </li>
 <li>
 Project Metrics: Demonstrates basic knowledge of project metrics (e.g. quality metrics utilization onsite to offshore ratio span of control rookie ratio pyramid)
 </li>
 <li>
 Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. UCP Estimation model) industry level functional sizing methodologies (e.g. FP) and UST Specific Estimation Templates
 </li>
 <li>
 Requirement Gathering and Analysis: Demonstrates working knowledge of requirements (functional/ non functional) requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) requirements management tools requirements traceability requirement elicitation practices (interviews questionnaires user observation workshops brainstorming use cases role playing prototyping etc.)
 </li>
 <li>
 Solution Structuring: Demonstrates working knowledge of UST service offering domain related COTS products. Basic knowledge of service lines in UST
 </li>
 <li>
 Knowledge Management Tools &amp; Techniques: Demonstrates working knowledge of industry knowledge management tools (such as portals wiki) UST and customer knowledge management tools techniques (such as classroom training self-study application walkthrough and reverse KT)
 </li>
 <li>
 Technical Standards Documentation &amp; Templates: Demonstrates working knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
 </li>
 <li>
 Pricing &amp; Licensing Models: Working knowledge of pricing models (fixed price non-linear and united )
 </li>
 <li>
 End User License Agreements etc) Awareness of advanced commercial and pricing models (outcome-based transactional pricing non-linear)
 
 </li>
 </ul>
 </ul>
 
 Additional Comments
 
 
 
 Job Title: Celonis Data Engineer Location: Any Job Summary: We are seeking a skilled and motivated Celonis Data Engineer to join our team and drive process mining initiatives using the Celonis Execution Management System (EMS). The ideal candidate will have a strong background in data engineering, process analytics, and experience working with Celonis to uncover inefficiencies and optimize business processes. Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines to ingest, transform, and load data into Celonis EMS.
 </li>
 <li>
 Collaborate with business stakeholders and process experts to understand data sources and process flows.
 </li>
 <li>
 Implement and optimize Celonis data models (Event Logs, Data Pools, Views).
 </li>
 <li>
 Develop and maintain IBC (Intelligent Business Cloud) analyses and dashboards.
 </li>
 <li>
 Ensure data quality, consistency, and performance across Celonis applications.
 </li>
 <li>
 Integrate Celonis with other enterprise systems (e.g., SAP, Salesforce, ServiceNow).
 </li>
 <li>
 Support process mining use cases across departments such as Finance, Procurement, Supply Chain, and IT.
 </li>
 <li>
 Monitor and troubleshoot data pipeline issues and ensure timely resolution.
 </li>
 <li>
 Stay updated with Celonis product updates and best practices. Required Qualifications:
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field.
 </li>
 <li>
 3+ years of experience in data engineering or analytics roles.
 </li>
 <li>
 Hands-on experience with Celonis EMS, including PQL (Process Query Language).
 </li>
 <li>
 Proficiency in SQL and data modeling.
 </li>
 <li>
 Experience with ETL tools and data integration platforms.
 </li>
 <li>
 Familiarity with enterprise systems like SAP, Oracle, or other ERP platforms.
 </li>
 <li>
 Strong problem-solving and communication skills.
 </li>
 <li>
 Ability to work independently and in a team-oriented environment. Preferred Qualifications:
 </li>
 <li>
 Celonis certification (e.g., Celonis Analyst, Celonis Engineer, Celonis Solution architect, Celonis Technical Expert etc.).
 </li>
 <li>
 Experience with Python or other scripting languages.
 </li>
 <li>
 Knowledge of process mining methodologies and KPIs.
 </li>
 <li>
 Experience in Agile development environments.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Engineering,celonis EMS,Sql,Etl Tools
</div>

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