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associate data engineer data management and analytics database warehousing

<div>
 
 Job Summary
 
 
 
 We are looking for a Data Warehouse Developer with strong expertise in SQL and a deep understanding of Data Warehouse (DWH) concepts. The role involves designing, developing, and optimizing SQL queries for data extraction, transformation, and reporting within large-scale data warehouse environments. The ideal candidate will translate business needs into efficient SQL queries and data models to support analytics and decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop complex SQL queries for data extraction, transformation, and loading (ETL) processes within the data warehouse&mdash;Document SQL development standards and procedures.
 </li>
 <li>
 Design and optimize SQL scripts to improve data retrieval performance and data quality.
 </li>
 <li>
 Implement and maintain dimensional data models (star schema, snowflake schema) using SQL.
 </li>
 <li>
 Write stored procedures, functions, views, and triggers to automate data workflows.
 </li>
 <li>
 Collaborate with BI teams and business stakeholders to gather reporting requirements and translate them into SQL-based solutions. Optimize existing SQL queries and database objects for better performance. Work with large datasets to validate and ensure data accuracy and consistency.
 </li>
 <li>
 Perform data profiling and data cleansing using SQL to ensure high-quality data in the warehouse.
 </li>
 <li>
 Troubleshoot and debug SQL code related to data warehousing processes.
 </li>
 <li>
 Manage Slowly Changing Dimensions (SCD) to accurately track historical data changes over time.
 </li>
 <li>
 Ensure data quality and consistency by implementing validation rules and data cleansing procedures within the data warehouse. Develop and maintain metadata and documentation for data warehouse architecture, schemas, and ETL processes.
 
 
 </li>
 </ul>
 
 Must Have Skills
 
 
 
 <ul>
 <li>
 Strong SQL skills: complex queries, joins, stored procedures, views, and performance tuning.
 </li>
 <li>
 Solid understanding of Data Warehouse concepts: fact/dimension tables, slowly changing dimensions (SCD), schema design.
 </li>
 <li>
 Experience with AWS data services, including but not limited to:
 </li>
 <li>
 Amazon Redshift (managed data warehouse)
 </li>
 <li>
 AWS Glue (ETL service)
 </li>
 <li>
 Amazon S3 (data lake/storage)
 </li>
 <li>
 AWS Lambda (serverless compute for ETL automation)
 </li>
 <li>
 Amazon RDS/Aurora (relational databases)
 </li>
 <li>
 Familiarity with cloud architecture and security best practices on AWS.
 </li>
 <li>
 Experience with ETL development and orchestration in AWS environments.
 </li>
 <li>
 Ability to optimize data workflows and SQL queries for performance and cost-efficiency on AWS
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 <ul>
 <li>
 Design and develop dimensional and normalized data models (star schema, snowflake schema) to efficiently support analytical queries.
 </li>
 <li>
 Understand the differences between OLTP and OLAP systems and design solutions tailored for analytical workloads. Collaborate with business analysts and data consumers to gather requirements and translate them into data warehouse design and reporting solutions.
 </li>
 <li>
 Apply data governance and security best practices to protect sensitive data within the warehouse.
 </li>
 <li>
 Use SQL extensively for data extraction, transformation, and analysis in the data warehouse
 
 
 </li>
 </ul>
 Key Skills - AWS Solutions Architecture, Omnia Platform Knowledge, Vector Db, RDBMS with ANSI SQL
</div>

Associate - Data Engineer-Data Management and Analytics-Database Warehousing

SoftwareOne

<div>
 
 
 We are seeking a highly skilled and experienced Solution Architect &ndash; Data &amp; AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex business challenges.&nbsp;
 
 
 
 &nbsp;
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 
 Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation.&nbsp;
 
 </li>
 <li>
 
 Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, and Azure OpenAI to architect robust platforms. &nbsp;
 
 </li>
 <li>
 
 Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.&nbsp;
 
 </li>
 <li>
 
 Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.&nbsp;
 
 </li>
 <li>
 
 Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.&nbsp;
 
 </li>
 <li>
 
 Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.&nbsp;
 
 </li>
 <li>
 
 Solution Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.&nbsp;
 
 </li>
 <li>
 
 Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance.&nbsp;
 
 </li>
 <li>
 
 Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data and AI capabilities.&nbsp;
 
 </li>
 </ul>
 
 Job Requirements
 
 <ul>
 <li>
 
 Demonstrable experience (5+ years) as a Solution Architect or similar role, with a focus on data analytics and Azure cloud technologies.&nbsp;
 
 </li>
 <li>
 
 Extensive hands-on experience with Azure services such as AI Foundry, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, Azure OpenAI, and Power BI.&nbsp;
 
 </li>
 <li>
 
 Solid understanding of data modeling, ETL processes, data warehousing, and data governance principles.&nbsp;
 
 </li>
 <li>
 
 Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.&nbsp;
 
 </li>
 <li>
 
 Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.&nbsp;
 
 </li>
 <li>
 
 Good communication skills to effectively collaborate with technical and non-technical teams.&nbsp;
 
 </li>
 <li>
 
 Experience in working with Agile methodologies and version control systems.&nbsp;
 
 </li>
 <li>
 
 Demonstrable ability to work independently and manage multiple priorities effectively.&nbsp;
 
 </li>
 <li>
 
 Report to practice lead.&nbsp;
 
 </li>
 <li>
 
 Pre-sales experience.&nbsp;
 
 </li>
 <li>
 
 Work within project team to develop and test data analytics platform and model.&nbsp;
 
 </li>
 <li>
 
 Design, develop, and unit test in accordance with established standards.&nbsp;
 
 </li>
 <li>
 
 Assist project team in analyzing and resolving technical issues.&nbsp;
 
 </li>
 <li>
 
 Assist in preparing manuals, specifications, and other user documentation.&nbsp;
 
 </li>
 <li>
 
 Package and support deployment releases.&nbsp;
 
 </li>
 <li>
 
 Assist in the collection and documentation of user requirements, development of user stories, and estimates.
 
 </li>
 <li>
 
 Bachelor&rsquo;s or associate degree in IT or related subject area.&nbsp;
 
 </li>
 <li>
 
 Certification in Microsoft Certified: Azure Solutions Architect Expert,
 
 Microsoft Certified: Azure AI Engineer Associate
 
 and Microsoft Certified: Azure Data Scientist Associate or Azure Data Engineer Associate is required.&nbsp;
 
 </li>
 </ul>
 
 Company description
 
 
 
 SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and handle everything in the cloud. By helping clients to migrate and modernize their workloads and applications &ndash; and in parallel, to navigate and optimize the resulting software and cloud changes &ndash; SoftwareOne unlocks the value of technology. The company&rsquo;s 9,300 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 60 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at https://www.softwareone.com/en
 
 
 
 &nbsp;
 
</div>

Solution Architect - Azure

<div>
 
 
 About the Company
 
 
 
 We are looking for a Data Warehouse Developer with strong expertise in SQL and a deep understanding of Data Warehouse (DWH) concepts. The role involves designing, developing, and optimizing SQL queries for data extraction, transformation, and reporting within large-scale data warehouse environments. The ideal candidate will translate business needs into efficient SQL queries and data models to support analytics and decision-making.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a Data Warehouse Developer with strong expertise in SQL and a deep understanding of Data Warehouse (DWH) concepts. The role involves designing, developing, and optimizing SQL queries for data extraction, transformation, and reporting within large-scale data warehouse environments. The ideal candidate will translate business needs into efficient SQL queries and data models to support analytics and decision-making.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop complex SQL queries for data extraction, transformation, and loading (ETL) processes within the data warehouse.
 </li>
 <li>
 Document SQL development standards and procedures.
 </li>
 <li>
 Design and optimize SQL scripts to improve data retrieval performance and data quality.
 </li>
 <li>
 Implement and maintain dimensional data models (star schema, snowflake schema) using SQL.
 </li>
 <li>
 Write stored procedures, functions, views, and triggers to automate data workflows.
 </li>
 <li>
 Collaborate with BI teams and business stakeholders to gather reporting requirements and translate them into SQL-based solutions.
 </li>
 <li>
 Optimize existing SQL queries and database objects for better performance.
 </li>
 <li>
 Work with large datasets to validate and ensure data accuracy and consistency.
 </li>
 <li>
 Perform data profiling and data cleansing using SQL to ensure high-quality data in the warehouse.
 </li>
 <li>
 Troubleshoot and debug SQL code related to data warehousing processes.
 </li>
 <li>
 Manage Slowly Changing Dimensions (SCD) to accurately track historical data changes over time.
 </li>
 <li>
 Ensure data quality and consistency by implementing validation rules and data cleansing procedures within the data warehouse.
 </li>
 <li>
 Develop and maintain metadata and documentation for data warehouse architecture, schemas, and ETL processes.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's/master's in engineering.
 </li>
 <li>
 3-5 years of experience.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong SQL skills: complex queries, joins, stored procedures, views, and performance tuning.
 </li>
 <li>
 Solid understanding of Data Warehouse concepts: fact/dimension tables, slowly changing dimensions (SCD), schema design.
 </li>
 <li>
 Experience with AWS data services, including but not limited to:
 </li>
 <li>
 Amazon Redshift (managed data warehouse)
 </li>
 <li>
 AWS Glue (ETL service)
 </li>
 <li>
 Amazon S3 (data lake/storage)
 </li>
 <li>
 AWS Lambda (serverless compute for ETL automation)
 </li>
 <li>
 Amazon RDS/Aurora (relational databases)
 </li>
 <li>
 Familiarity with cloud architecture and security best practices on AWS.
 </li>
 <li>
 Experience with ETL development and orchestration in AWS environments.
 </li>
 <li>
 Ability to optimize data workflows and SQL queries for performance and cost-efficiency on AWS.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Design and develop dimensional and normalized data models (star schema, snowflake schema) to efficiently support analytical queries.
 </li>
 <li>
 Understand the differences between OLTP and OLAP systems and design solutions tailored for analytical workloads.
 </li>
 <li>
 Collaborate with business analysts and data consumers to gather requirements and translate them into data warehouse design and reporting solutions.
 </li>
 <li>
 Apply data governance and security best practices to protect sensitive data within the warehouse.
 </li>
 <li>
 Use SQL extensively for data extraction, transformation, and analysis in the data warehouse.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 We are committed to diversity and inclusivity.
 
</div>

Data Engineer

IQVIA

<div>
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 
 
 
 Role: Consultant (Primary Intelligence Analytics)
 
 
 
 
 Experience: 4 to 8 years
 
 
 
 
 Location: Bangalore/Gurgaon/Noida
 
 
 
 
 
 
 
 Purpose: Data Management
 
 
 
 Serve as the data access and integration expert who can efficiently collaborate with various database owners to obtain, format, and integrate data for Primary Intelligence Research Services (PIRS) project needs, with primary focus on real-world world data, market research and social media intelligence.
 
 
 
 
 
 
 Roles and Accountabilities:
 
 
 <ul>
 <li>
 Develop data specifications, write programs to access data, and / or work with COE database programmers to obtain and prepare data for PIRS projects.
 </li>
 <li>
 Establish standard practices / processes for accessing data and creating integrated data sets for analytics projects; document these approaches to enable knowledge sharing and training.
 </li>
 <li>
 Build relationships across IQVIA data community to share ideas for using data to address business questions and learn about project best practices.
 </li>
 <li>
 Keep appraised of changes in data structure, data management rules, and other operational guidelines within IQVIA.
 </li>
 <li>
 Work with onsite team members to understand project requirements and deliver projects independently as per the guidance of senior project leaders.
 </li>
 <li>
 Ability to learn new tools, techniques and information assets as required for successful project delivery.
 </li>
 <li>
 Be a strong collaborator, who is willing to share/train and learn from others as the job requires close collaboration with multiple stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 4+ years&rsquo; experience in data management and modeling skill areas within biopharma / life sciences
 </li>
 <li>
 Must have a working knowledge of U.S. life science commercial data sets such as Rx, Dx, health claims, primary market research, manufacturer promotion data or have the ability to quickly understand these data sets given expertise in similarly large, complex data set.
 </li>
 <li>
 Excellent analytical skills with ability to analyze large data sets.
 </li>
 <li>
 Familiar with Relational Database systems and BI/DW concepts, API integration knowledge a plus
 </li>
 <li>
 Good project management skills with the ability to plan and manage multiple projects, multitask and deliver to tight deadlines.
 </li>
 </ul>
 
 
 Tools, Tech &amp; Data:
 
 
 <ul>
 <li>
 Must have advanced MS-Excel skills.
 </li>
 <li>
 Expertise in writing queries to access data from MySQL and Oracle databases.
 </li>
 <li>
 Hands-on experience in R / Python for data manipulation and IQVIA data assets/ platforms such IQVIA Analytics Engine (P360), OneKey, Rsearch360 etc., would be an added advantage.
 </li>
 </ul>
 
 
</div>

Data Management Consultant

Morgan Stanley

<div>
 We're seeking someone to join our team, GSS (Global Supplier Services) Data &amp; Analytics to support our program lead in modeling data used to both support and produce outputs of Third Party Risk Monitoring (KRIs, KPIs, etc.). This position will require a strong attention to detail, ability to understand relational datasets across various systems, ability to multitask, and an understanding of the third-party source to pay processes. This candidate is expected to oversee multiple critical processes within a fast paced and deadline driven environment, as well as to propose innovation within their role where opportunity exists.
 
 
 In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do-and-win business. This is a Director level position within the Business Unit Management, which performs business management/CAO functions such as headcount management, financials, people processes, executive communications, and strategic support
 
 
 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'll Do In The Role
 
 
 
 <ul>
 <li>
 Working with team lead, develop and deliver program metrics supporting Third Party Risk Management to be delivered via a centralized platforming solution
 </li>
 <li>
 Engage with senior stakeholders to determine data configurations in current state vs. desired state
 </li>
 <li>
 Turn business requirements into strategic process-oriented solutions that streamline and/or transform processes / process improvement
 </li>
 <li>
 Develop and optimize Snowflake SQL queries, views, and stored procedures to support large-scale analytics and reporting needs
 </li>
 <li>
 Design, build, and maintain advanced Power BI dashboards for sourcing analytics, GSS reporting, and executive insights
 </li>
 <li>
 Become a subject matter expert on the data model/structure to perform meaningful analysis and apply it to business needs
 </li>
 <li>
 Work with end users for any ad hoc requests or requirements related to data quality analyses or metrics
 </li>
 <li>
 Monitor a healthy pipeline of deliverables to ensure they are correctly prioritized and completed on time
 </li>
 <li>
 Leverage technology-based skillset and business acumen to find and create efficiencies while delivering effective reporting &amp; analytics
 
 
 </li>
 </ul>
 
 What You'll Bring To The Role
 
 
 
 <ul>
 <li>
 7+ years' experience in a professional setting with a strong focus on reporting and data analytics.
 </li>
 <li>
 Experience with complex process management front-to-back including strategic enhancements to BAU processes
 </li>
 <li>
 Experience of collecting, analyzing, and modeling within a relational database environment to ensure foundational consistency and to produce meaningful, innovative outputs
 </li>
 <li>
 Advanced Microsoft Office Skills; PowerPoint, Word, Access, and Excel (complex formulas, pivot tables, slicers, data connections, etc.)
 </li>
 <li>
 Proficient PowerBI Skills; PowerBI dashboard development preferred
 </li>
 <li>
 Ability to analyze large datasets using MS excel, SQL, or comparable
 </li>
 <li>
 Strong stakeholder management skills, with experience coordinating across business and technical teams
 </li>
 <li>
 Demonstrated ability to design and deliver effective training and enablement programs
 </li>
 <li>
 Excellent communication, facilitation, and presentation skills
 </li>
 <li>
 Experience with data warehousing concepts, cloud platforms (preferably Snowflake), and legacy systems (IBM DB2 a plus)
 </li>
 <li>
 Familiarity with risk management, compliance, and governance in data-driven environments.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced, evolving environment
 </li>
 <li>
 Preferred: experience in a related field; source-to-pay (Ariba, Coupa, etc.), sourcing, procurement, accounts payable, expense management, and/or third-party relationships
 </li>
 <li>
 Proven track record of managing large datasets or acting as a central data governance steward, understanding data quality / data cataloguing and associated tooling
 
 
 </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 & Analytics, Director, Business Unit Management

Microsoft

<div>
 With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&amp;S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft&rsquo;s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers&rsquo; expectations in every interaction, whether in-product, digital, or human-centered. CE&amp;S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft&rsquo;s portfolio of solutions and products. Join CE&amp;S and help us accelerate AI transformation for our customers and the world.
 
 
 The Global Customer Success (GCS) organization, an organization within CE&amp;S, is leading the effort to enable customer success on the Microsoft Cloud by harnessing leading, AI-powered capabilities and human expertise to deliver innovation solutions that accelerate business value, drive operational excellence and nurture long term loyalty.
 
 
 We are looking for a highly motivated and passionate Cloud Solution Architect (CSA) focusing on Data and AI solution area to join the Customer Success Team. As part of this role. you will be responsible
 
 
 for technical Customer engagements, working with the most challenging and exciting projects within
 
 
 Microsoft Azure customer base. This customer-facing position is a hands-on technical role spanning
 
 
 across design, build, and operations with a focus on issue. The role requires coaching team members to focus on customer experience through efficient delivery, driving adherence to Microsoft standards and recommended practices, and providing a holistic perspective of customer challenges and competitor architectures. The role is within the CSA Global Delivery team. It is a centralized group consisting of both full-time employees (FTEs) and Vendor CSAs dedicated to enhancing the customer's experience with Microsoft as they transition to hybrid/public cloud solutions.
 
 
 This role is flexible in that you can work up to 50% from home.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 This role is flexible in that you can work up to 50% from home.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 Customer Centricity
 
 
 <ul>
 <li>
 Gathers customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and maps architecture and digital transformation solutions to customer/partner business outcomes. Acts as the voice of the customer (VOC)/partner by driving new feedback, insights, and resources across internal teams to add and prioritize. Represents the customer/partner to internal teams (e.g., Engineering) to shape products and services by providing insights across the territory. Advocates for the customer/partner at all opportunities and shares customer success stories with the wider internal team.
 </li>
 <li>
 Guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Supports definition of customer/partner conditions of success. Anticipates customer/partner dissatisfaction and unmet needs and executes strategies to improve experience, value realization, and acceleration of customer transformation.
 </li>
 <li>
 Actively listens and respectfully challenges customers/partners when going in the wrong direction, presents insights and alternatives, and takes action appropriately.
 
 
 </li>
 </ul>
 Business Impact
 
 
 <ul>
 <li>
 Drives customer/partner relationships to anticipate, identify, escalate, and work to resolve technical blockers to accelerate consumption and solution implementations (e.g., by application of technical capabilities). Routes non-technical issues for removal by the appropriate party. Applies broad business and technical knowledge across various architecture or other Microsoft solutions to meet business and information technology (IT) requirements and resolve identified technical constraints. Shapes and enhances customers' requirements.
 </li>
 <li>
 Proactively uses knowledge of the products, services, and value propositions of Microsoft and its competitors in customer/partner conversations to identify growth opportunities based on knowledge of customer/partner needs. Contributes to increase in consumption and aligns with Customer Success Account Management or other Account Team members on customer/partner priorities to drive growth in consumption via cost optimization, operational excellence performance efficiency, and security. Drives architecture design, resiliency reviews, and technical optimization that result in production deployment application and increase customer/partner usage and consumption. Ensures that the customer/partner's application has as few points of failure as possible. Consults and provides thought leadership for technical solution design, development, and deployment and supports the customer/partner throughout implementation to achieve value outcomes and Microsoft's Customer Promise.
 </li>
 <li>
 Understands industry trends and the competitor's architecture solutions and identifies Microsoft's strengths over competitive solutions to drive conversations with customers/partners and convince them of solution.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Demonstrate the capability to act as CSA Pod Lead with ability to drive planning and delivery of Pod team by engaging CSAM and ATU, manage customer relationship by conducting monthly engagement reviews and assuring quality and be accountable for capacity planning, hiring, skilling and utilization of Pod members.
 </li>
 <li>
 Proactively develops technical and professional learning and development plan in alignment with and support from their manager. Role models effective technical readiness. Acts as a mentor and role model to less experienced colleagues to educate them on technical and non-technical concepts. Participates in development opportunities (e.g., Ready, Build, Ignite).
 </li>
 <li>
 Shares ideas, insights, and strategic technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using a thorough knowledge of specific Microsoft products and their context in the competitive landscape. Participates in external technical community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and shares learnings with the internal team.
 </li>
 <li>
 Generates new ideas for changes and improvements to existing intellectual property (IP), technologies, and processes for designated customers/partners. Drives opportunities for IP reuse, best practice sharing, and consumption acceleration. Proactively identifies gaps through delivery and communicating those gaps to others (e.g., Leadership, managed intellectual property [MIP], Design, and Governance). Applies subject matter expertise to develop new IP that fills identified gaps
 
 
 </li>
 </ul>
 
 Important Key Criteria
 
 
 
 <ul>
 <li>
 Should have potential to scale as CSA Pod Lead with ability to lead planning and delivery of vendor Pod team by engaging account team
 </li>
 <li>
 Manage customer relationship by conducting monthly engagement reviews and assuring quality and be accountable for capacity planning, hiring, skilling and utilization of Pod members.
 
 
 </li>
 </ul>
 Additional details
 
 
 
 Qualifications
 
 
 
 
 Required/minimum qualifications
 
 
 
 Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
 
 
 
 Additional Or Preferred Qualifications
 
 
 
 Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
 
 
 4+ years experience working in a customer-facing role (e.g., internal and/or external).
 
 
 4+ years experience working on technical projects.
 
 
 Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
 
 
 <ul>
 <li>
 Level 300-400 advanced/experienced resource on SQL Server. Fundamentals should be clear with basic concepts, architecture of SQL Server.
 </li>
 <li>
 Strong with SQL Server Core/Engine &ndash; Concepts, Architecture, Performance, High Availability (Failover Cluster, Availability Group), Migration/Upgrade, Security, Maintenance, Well versed with evolution of SQL server &amp; enhancements with each version of SQL server, Hands on &amp; practical experiences.
 </li>
 <li>
 Breadth skills on other components like Power BI &amp; SSRS, SSIS, SSAS and Azure (Data services).
 </li>
 <li>
 Exceptional Hands on &amp; practical experiences working on Reactive scenarios. Troubleshooting skills on Performance, High Availability (Failover Cluster, Availability Group), Migration/Upgrade, SQL setup/patches, Security, Maintenance. Should be able to handle SQL Server Administration &amp; Operational troubleshooting reactive scenarios as needed. On reactive scenarios should be able to drive clear action plans, follow up to closure.
 </li>
 <li>
 Technical Leadership quality and escalation handling skills.
 </li>
 <li>
 Should be able to converse with stakeholders/business/application owners.
 </li>
 <li>
 Collaborating &amp; Partnering with team members internally &amp; externally.
 </li>
 <li>
 Ready to deliver as soon as possible. Should not be dependent on ramp up/training to start delivering on SQL related work.
 
 
 </li>
 </ul>
 
 Demonstrate Hands-on Expertise In
 
 
 
 <ul>
 <li>
 Azure Data Factory, Azure Data Lake, SQL Pools, Spark Pools
 </li>
 <li>
 Azure ML, Cognitive Services, OpenAI, Power BI, Microsoft Fabric
 </li>
 <li>
 Databricks, Delta Lake, Unity Catalog, Synapse Pipelines
 </li>
 <li>
 Ensure solutions meet enterprise-grade standards for performance, security, scalability, and governance.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Serve as a trusted advisor to customer executives, architects, and developers on AI strategy, data governance, and analytics modernization.
 </li>
 <li>
 Drive proof-of-concepts (POCs) and minimum viable products (MVPs) for AI and analytics use cases.
 </li>
 <li>
 Guide customers in deploying ML models, building data pipelines, and operationalizing AI solutions
 </li>
 <li>
 Lead technical engagements with enterprise customers focused on data modernization, advanced analytics, and AI/ML solutioning.
 </li>
 <li>
 Architect and implement scalable solutions using Azure Synapse, Azure Databricks, Azure Machine Learning, Power BI, and Microsoft Fabric.
 </li>
 <li>
 Translate business requirements into technical architectures that leverage AI services, data lakes, real-time intelligence, and predictive analytics.
 
 
 </li>
 </ul>
 AI-900: Azure AI Fundamentals (Required)
 
 
 DP-100: Azure Data Scientist Associate
 
 
 DP-600: Fabric Analytics Engineer Associate
 
 
 DP-700: Fabric Data Engineer Associate
 
 
 PL-300: Power BI Data Analyst Associate
 
 
 DP-300: Azure Database Administrator Associate
 
 
 DP-420: Azure Cosmos DB Developer
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Cloud Solution Architecture

Germane Analytics Pvt Ltd

<div>
 
 Position:
 
 Data Modeler
 
 
 
 Job Code:
 
 GA-T-2015-06
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Hands-on Dimensional Modeling exposure (conceptual, logical, physical) with good understanding of DWH concepts.
 </li>
 <li>
 Look out for opportunities to come up with standard data models for repetitive businesses.
 </li>
 <li>
 Establish networking within client organization.
 
 
 </li>
 </ul>
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Awareness of end-to-end DWH lifecycle.
 </li>
 <li>
 Good in developing dimensional models for business analytics initiatives.
 </li>
 <li>
 Should have been a contributor for a minimum of one end-to-end data warehousing initiative from conception to cutover.
 </li>
 <li>
 Ability to present himself as point-of-contact to clients and front-end the engagement.
 
 
 </li>
 </ul>
 
 Secondary Skills
 
 
 
 <ul>
 <li>
 Understanding of industry trends in DWH/BI Solutions, Big Data.
 </li>
 <li>
 Exposure to Open Source stack will be preferred.
 </li>
 <li>
 Exposure to any of the modeling tools like Oracle SQL Data Modeler, Erwin, Open ModelSphere etc will be a valid-add.
 </li>
 <li>
 Exposure to one or more industries (BFS, Retail, Healthcare, Telecom).
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Good believer of team contribution and team play.
 </li>
 <li>
 Good verbal &amp; written communication skills.
 
 
 </li>
 </ul>
 
 Educational Background
 
 
 
 B.E. / B.Tech / MCA / B.Sc
 
 
 
 Experience Range
 
 
 
 5 yrs to 7 yrs
 
 
 
 Number Of Positions
 
 
 
 2
 
 
 
 Timeline
 
 
 
 Immediate.
 
 
 
 Location:
 
 
 
 Bangalore, India
 
 
 
 Travel Needs
 
 
 
 To be flexible as per organization needs.
 
 
 If you think this is an ideal job for you, Click Apply to proceed further.
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Position: Data Modeler

Explore 891+ Associate data engineer data management and analytics database warehousing in Mangaluru this November. Find roles across top companies and apply now to boost your career.