1453 Data Bricks Jobs - Page 39

Role & responsibilities The Application Head is Responsible for overseeing the Deployment and Management of Enterprise Applications with a strong focus on S/4HANA and Retail Industry Solutions. Extensive Experience in both SAP and non SAP Enterprise Solution Deployments, Ensuring Seamless Integration and Operational Efficiency across the Organization. Oversee the Deployment, Management and Optimization of S/4HANA and other Enterprise Applications. Ensure Seamless Integration of SAP and non-SAP Solutions to support Business Processes. Qualifications Bachelors or Master’s degree in Computer Science, Information Technology or related field. 10+ Years of Experience in Application Management and Deployment Roles. Strong knowledge of S/4HANA, Retail Industry Solutions and non-SAP Enterprise Applications. Preferred Skill Experience in Retail (Brand Retailing is a plus). Familiarity with Tools like Power BI, Tableau, Databricks, Snowflake or similar. Understanding of Ethical AI and Responsible Data Use.

DataOps Specialist - Azure - 5+ Years - Gurugam Are you a data enthusiast with expertise in Azure and DataOps? Do you have experience working with data pipelines, data warehousing, and analytics? Our client, a leading organization in Gurugam, is looking for a DataOps Specialist with 5+ years of experience. If you are passionate about leveraging data to drive business insights and decisions, this role is for you! Location : Gurugam Your Future Employer : Our client is a prominent player in the industry and is committed to creating an inclusive and diverse work environment. They offer ample opportunities for professional growth and development, along with a supportive and collaborative culture. Responsibilities Design, build, and maintain data pipelines on Azure platform Work on data warehousing solutions and data modeling Collaborate with cross-functional teams to understand data requirements and provide solutions Implement and manage data governance and security practices Troubleshoot and optimize data processes for performance and reliability Stay updated with the latest trends and technologies in DataOps and analytics Requirements 5+ years of experience in data engineering, DataOps, or a related field Proven expertise in working with Azure data services such as Azure Data Factory, Azure Synapse Analytics, etc. Strong understanding of data warehousing concepts and data modeling techniques Proficiency in SQL, Python, or other scripting languages Experience with data governance, security, and compliance Excellent communication and collaboration skills What's in it for you : As a DataOps Specialist, you will have the opportunity to work on cutting-edge data technologies and make a significant impact on the organization's data initiatives. You will be part of a supportive team that values innovation and encourages continuous learning and development. Reach us : If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at rohit.kumar@crescendogroup.in Disclaimer : Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status. Note : We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert! Profile keywords : DataOps, Azure, Data Engineering, Data Warehousing, Analytics, SQL, Python, Data Governance

Create and execute a strategic sales plan that expands customer base and extends global reach. Establish relationships with new and existing customers and secure new business in the assigned portfolio element(s) Drive the entire Sales Cycle from initial Customer Engagement till Contract Closing for new customers. For existing customers, Sales Cycle is started by Account Manager Work with Account Managers to ensure that the overall account strategy and goals will be followed and achieved. Maintain a very detailed level of relevant knowledge on the assigned portfolio element(s) in order to have meaningful and relevant conversations with customers and prospects. Work with Pre-Sales Consultant / Technical Architects / Practice Leaders to ensure that we design the right solutions for our customers. Owns the proposal and Statement of Work (SoW) overall and engages pre-sales consultant for more complex content related to the specific practice. Provide feedback to Account Management on ways to decrease the Sales Cycle, enhance Sales, and improve company brand and reputation. Responsible for PL for Big Data Engagements Handling MME and SMB's for Net New Business Cross Sell and Upsell in the existing accounts. Managing Alliance with AWS and Databricks for Data Analytics offerings Creating business development plans and forecasting sales targets and growth projections Meeting existing and potential clients and building positive relationships Understand Sales targets and take initiative to achieve the same. Customer Acquisition Life Cycle Management. Track, analyze, and communicate key quantitative metrics and business trends as they relate to partners and clients. Preparing financial projections and sales targets. Required skills and qualifications: 9+ years of proven sales experience, including 3+ years of experience in solutions selling for Data Analytics BI Tools. Highly motivated and results oriented evidence of consistently exceeding acquisition specific performance metrics. Good knowledge of ETL tools and enterprise data warehouse / data lake solutions. Computer Engineer with MBA Ability and maturity to sell and build relationships and expand on new relationships. Consistently achieved sales goals through your leadership and personal goals. Able to learn new technology quickly, as well as adapt to changing needs. Deep understanding of enterprise sales methodology. Proven record of success with the entire sales cycle, from planning to closing Excellent communication, interpersonal, and organizational skills. Superb leadership ability. Open to travel.

Job Role & responsibilities: - Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves architecture designing, building and deploying data systems, pipelines etc Designing and implementing agile, scalable, and cost efficiency solution on cloud data services. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skill, Qualification & experience required:- 9-11 years of experience in Cloud Data Engineering. Experience in Azure Cloud Data Engineering, Azure Databricks, datafactory , Pyspark, SQL,Python Hands on experience in Data Engineer, Azure Databricks, Data factory, Pyspark, SQL Proficient in Cloud Services Azure Architect and implement ETL and data movement solutions. Bachelors/Master's Degree in Computer Science or related field Design and implement data solutions using medallion architecture, ensuring effective organization and flow of data through bronze, silver, and gold layers. Optimize data storage and processing strategies to enhance performance and data accessibility across various stages of the medallion architecture. Collaborate with data engineers and analysts to define data access patterns and establish efficient data pipelines. Develop and oversee data flow strategies to ensure seamless data movement and transformation across different environments and stages of the data lifecycle. Migrate data from traditional database systems to Cloud environment Strong hands-on experience for working with Streaming dataset Building Complex Notebook in Databricks to achieve business Transformations. Hands-on Expertise in Data Refinement using Pyspark and Spark SQL Familiarity with building dataset using Scala. Familiarity with tools such as Jira and GitHub Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills * Immediate Joiners will be preferred only

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Exciting opportunity for an ML Platform Specialist to join a leading technology-driven firm. You will be designing, deploying, and maintaining scalable machine learning infrastructure with a strong focus on Databricks, model lifecycle, and MLOps practices. Location: Gurugram (Hybrid) Your Future Employer Our client is a leading digital transformation partner driving innovation across industries. With a strong focus on data-driven solutions and cutting-edge technologies, they are committed to fostering a collaborative and growth-focused environment. Responsibilities Designing and implementing scalable ML infrastructure on Databricks Lakehouse Building CI/CD pipelines and workflows for machine learning lifecycle Managing model monitoring, versioning, and registry using MLflow and Databricks Collaborating with cross-functional teams to optimize machine learning workflows Driving continuous improvement in MLOps and automation strategies Requirements Bachelors or Masters in Computer Science, ML, Data Engineering, or related field 3-5 years of experience in MLOps, with strong expertise in Databricks and Azure ML Proficient in Python, PySpark, MLflow, Delta Lake, and Databricks Feature Store Hands-on experience with cloud platforms (Azure/AWS/GCP), CI/CD, Git Knowledge of Terraform, Kubernetes, Azure DevOps, and distributed computing is a plus Whats in it for you Competitive compensation with performance-driven growth opportunities Work on cutting-edge MLOps infrastructure and enterprise-scale ML solutions Collaborative, diverse, and innovation-driven work culture Continuous learning, upskilling, and career development support

Position : Azure Data Engineer Experience : 4-7 Years Location : Gurugram Type : Full Time Notice period : Immediate to 30 days Preferred Certifications : Azure Data Engineer Associate, Databricks About the Role : We are looking for a skilled Azure Data Engineer with 4-7 years of experience in Azure Data Services, including Azure Data Factory (ADF), Synapse Analytics , and Databricks. The candidate will play a key role in developing and maintaining data solutions on Azure. Key Responsibilities : Develop and implement data pipelines using Azure Data Factory and Databricks . Work with stakeholders to gather requirements and translate them into technical solutions. Migrate data from various data sources to Azure Data Lake . Optimize data processing workflows for performance and scalability. Ensure data quality and integrity throughout the data lifecycle. Collaborate with data architects and other team members to design and implement data solutions. Required Skills : Strong experience with Azure Data Services, including Azure Data Factory (ADF) , Synapse Analytics, and Databricks. Proficiency in SQL , data transformation and ETL processes . Hands-on experience with Azure Data Lake migrations and Python/Pyspark Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Preferred Qualifications : Azure Data Engineer Associate certification. Databricks Certification. Mandatory skill set: Pyspark- Databricks - Python and Sql

With 4 9 Years of Experience Build ETL ELT pipelines with Azure Data Factory Azure Databricks Spark Azure Data Lake Azure SQL Database and Synapse Minimum 3 Years of Hands-on experience developing Solid knowledge of Data Modelling Relational Databases and BI and Data Warehousing Demonstrated expertise in SQL Good to have experience with CICD Cloud architectures NoSQL Databases Azure Analysis Services and Power BI Working knowledge or experience in Agile, DevOps Good written and verbal communication skills English Ability to work with geographically diverse teams via collaborative technologies

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake

Azure Databricks Experience; 3 to 5 years Proficiency in Databricks, Apache Spark, and Delta Lake Strong understanding of cloud platforms such as AWS, Azure, or GCP Experience with SQL, Python, Scala, and/or R Familiarity with data warehousing concepts and ETL processes Problem-Solving: Excellent analytical and problem-solving skills with a keen attention to detail Data bricks Associate certification

4-6 years of experience building resilient, highly available and scalable cloud native platforms and solutions. Extensive experience with the .NET framework and other technologies: C#, Web API Experience with using a broad range of Azure services, mainly from the list below: Web Apps, Web jobs, Storage, Azure Key Vault, Blueprint Assignment, Azure Policy, Azure Service Bus. Expertise in creation and usage of ARM Templates is required. Usage and deployment knowledge of Infrastructure as a code using tools such as Terraform is required. Advanced knowledge on IaaS and PaaS services of Azure Knowledge on Monitoring tools (Application Insights) is required. Comprehensive understanding on Azure platform and services Knowledge on IAM Identity and Access Management is needed. APP Insights, Azure SQL DB, Cosmos DB, Functions, Azure Bot Service, Express Route Azure VM, Azure VNet, Azure Active Directory, Azure AD B2C, Azure Analytics Services - Azure Analysis Services, SQL Data Warehouse, Data Factory, Databricks Develop and maintain an Azure based cloud solution, with an emphasis on best practice cloud security. Automating tasks using Azure Dev-Ops and CI/CD Pipeline Expertise in one of the languages such as PowerShell or Python, .Net, C# is preferable. Strong knowledge on Dev-Ops and tools in Azure. Infrastructure and Application monitoring across production and non-production platforms Experience with DevOps Orchestration / Configuration / Continuous Integration Management technologies. Knowledge on hybrid public cloud design concepts Good understanding of High Availability and Disaster Recovery concepts for infrastructure Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues. Excellent communication skills, understanding customer needs, negotiations skills, Vendor management skills. Education (degree): Bachelor's degree in Computer Science, Business Information Systems or relevant experience and accomplishments Technical Skills 1. Cloud provisioning and management Azure 2. Programming Language C#, .NET Core, PowerShell 3. Web API's

- PowerBI and AAS expert (Strong SC or Specialist Senior) - Should have hands-on experience of Data Modelling in Azure SQL Data Ware House and Azure Analysis Service - Should be able twrite and test Dex queries - Should be able generate Paginated Reports in PowerBI - Should have minimum 3 Years' working experience in delivering projects in PowerBI ROLE 2 : - DataBricks expert (Strong SC or Specialist Senior) - Should have minimum 3 years' working experience of writing code in Spark and Scala ROLE 3: - One Azure backend expert (Strong SC or Specialist Senior) - Should have hands-on experience of working with ADLS, ADF and Azure SQL DW - Should have minimum 3 Year's working experience of delivering Azure projects

Job Title:- Data Engineer Location:- Chennai, Bangalore, Pune, Hyderabad (Hybrid) Job Type:- Permanent Employee Responsibilities: Skillsets required: Application and API development SQL data modeling and automation Experience working with GIS map services and spatial databases Experience creating GIS map services Data and application architecture Handling of legacy data Familiarity with Client work processes and data is a plus Platforms: DataBricks Snowflake ESRI ArcGIS / ArcSDE New GenAI app being developed Tasks that will need to be done: Combining and integrating spatial databases from different sources to be used with the new GenAI application Building of map services with associated metadata to support questions from geoscience users Set up necessary updating cycles for databases and map services to ensure evergreen results Help with constructing APIs for these databases and map services to structure the best possible workflows for users Assistance with data and application architecture Help with handling legacy data, such as links to existing applications, databases, and services Ensure that IT requirements are being met as we build our project, including integration, data tiers, access control and status monitoring

Job Summary: We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. Youll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog. Key Responsibilities: Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. Develop high-performance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills: Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong hands-on skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance, RBAC, and data security standards. Preferred Qualifications: Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt. Exposure to streaming data and real-time processing. Knowledge of DevOps practices for data engineering.

Job description Job Title: Manager Data Engineer - Azure Location: Chennai (On-site) Experience: 8 - 12 years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.

Job description Job Title: Lead Data Engineer - Azure | | GeakMinds | Chennai Location: Chennai (On-site) Experience: 5 - 8 years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.

- Analyze and organize raw data from various sources - Buildand maintain data systems and pipelines - Prepare data for prescriptive and predictive modeling - Combine raw information to generate valuable insights - Enhance data quality and reliability

Primary Responsibilities: Design, code, test, document, and maintain high-quality and scalable data pipelines/solutions in cloud Work in both dev and ops and should be open to work in ops with flexible timings in ops Ingest and transform data using variety of technologies from variety of sources (APIs, streaming, Files, Databases) Develop reusable patterns and encourage innovation that will increase team’s velocity Design and develop applications in an agile environment, deploy using CI/CD Participate with prototypes as well as design and code reviews, own or assist with incident and problem management Self-starter who can learn things quickly, who is enthusiastic and actively engaged Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's degree in technical domain. Required experience with the following: Databricks, Python, Spark, pyspark, SQL, Azure Data factory Design and Implementation of Datawarehouse/Datalake (Databricks/snowflake) Data architecture, Data modelling Operations Processes, reporting from operations, Incident resolutions Github actions/Jenkins or similar CICD tool, Cloud CICD, GitHub NoSQL and relational databases Preferred Qualifications: Experience or knowledge in Apache Kafka Experience or knowledge in Data ingestions from variety of API’s Working in Agile/Scrum environment

5 to 9 years experience Nice to have Worked in hp eco system (FDL architecture) Databricks + SQL combination is must EXPERIENCE 6-8 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): databricks, SQL

ABOUT THE ROLE At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence & Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI & Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. Weve built algorithms that predict bone fractures in patients who havent even been diagnosed with osteoporosis yet. Weve built software to help us select clinical trial sites so we can get medicines to patients faster. Weve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And thats just a part of the beginning. Join us! We are seeking a Senior DevOps Software Engineer to join the Labs software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior DevOps Software Engineer will design and implement deployment strategies for AI systems using the AWS stack, ensuring high availability, performance, and scalability of applications. Roles & Responsibilities: Design and implement deployment strategies using the AWS stack, including EKS, ECS, Lambda, SageMaker, and DynamoDB. Configure and manage CI/CD pipelines in GitLab to streamline the deployment process. Develop, deploy, and manage scalable applications on AWS, ensuring they meet high standards for availability and performance. Implement infrastructure-as-code (IaC) to provision and manage cloud resources consistently and reproducibly. Collaborate with AI product design and development teams to ensure seamless integration of AI models into the infrastructure. Monitor and optimize the performance of deployed AI systems, addressing any issues related to scaling, availability, and performance. Lead and develop standards, processes, and best practices for the team across the AI system deployment lifecycle. Stay updated on emerging technologies and best practices in AI infrastructure and AWS services to continuously improve deployment strategies. Familiarity with AI concepts such as traditional AI, generative AI, and agentic AI, with the ability to learn and adopt new skills quickly. Functional Skills: Deep expertise in designing and maintaining CI/CD pipelines and enabling software engineering best practices and overall software product development lifecycle. Ability to implement automated testing, build, deployment, and rollback strategies. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Experience with databases (Postgres/DynamoDB) Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Basic Qualifications: Bachelors degree in Computer Science, AI, Software Engineering, or related field. 8+ years of experience in full-stack software engineering.

Role & responsibilities Job Description: We are looking for an experienced Cognos Developer with expertise in Framework Management and Admin tasks to join our team. The ideal candidate will have 6+ years of hands-on experience in Cognos development and support, with a strong focus on managing Cognos environments and optimizing reporting solutions. Key Responsibilities: Develop and maintain Cognos Framework Manager models and reports. Perform Cognos Admin tasks, including installation, configuration, and troubleshooting. Support and maintain Cognos BI environments (reporting, security, and user management). Work closely with business teams to understand reporting requirements and design solutions. Perform upgrades, patches, and system optimizations. Ensure high availability and performance of Cognos reporting applications. Provide technical support for Cognos users and resolve issues. Required Skills: 6+ years of experience in Cognos BI development and administration. Strong knowledge of Cognos Framework Manager , Cognos Report Studio , and Cognos Administration . Experience in creating and managing data models, reports, and dashboards. Proficiency in SQL and database concepts. Good understanding of security and deployment in Cognos environments. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills.