1781 Data Architecture Jobs - Page 35

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of software solutions, while also performing maintenance and enhancements to existing applications. You will be responsible for delivering high-quality code and contributing to the overall success of the projects you are involved in, ensuring that all components function seamlessly together. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.- Mentor junior professionals to help them develop their skills and grow within the organization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data warehousing concepts and technologies.- Ability to analyze and optimize data models for performance and scalability. Additional Information:- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Ab Initio Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful execution of projects, performing maintenance and enhancements, and contributing to the development of innovative solutions that meet client needs. You will be responsible for managing your tasks effectively while ensuring high-quality deliverables and maintaining a focus on continuous improvement. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of learning.- Monitor project progress and provide timely updates to stakeholders to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of data integration and ETL processes.- Experience with performance tuning and optimization of data processing workflows.- Familiarity with data quality and data governance principles.- Ability to troubleshoot and resolve technical issues in a timely manner. Additional Information:- The candidate should have minimum 7.5 years of experience in Ab Initio.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful execution of projects, addressing challenges that arise during the development process, and contributing to the overall improvement of application performance and functionality. You will also be responsible for maintaining existing systems while implementing enhancements to meet evolving client needs, ensuring that the software solutions are robust and efficient. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data warehousing concepts and technologies.- Ability to analyze and optimize data models for performance. Additional Information:- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a variety of tasks that involve analyzing, designing, coding, and testing multiple components of application code across various clients. Your typical day will include collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development work of the project. You will be responsible for ensuring that the application meets the required standards and functions effectively, while also addressing any issues that may arise during the development process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data warehousing concepts and technologies.- Ability to analyze and optimize data models for performance. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a variety of tasks that involve analyzing, designing, coding, and testing multiple components of application code across various clients. Your typical day will include collaborating with team members to ensure the quality and functionality of the software, addressing any issues that arise, and implementing enhancements to improve overall performance. You will also be responsible for maintaining existing applications and contributing to the development of new features, ensuring that all work aligns with project goals and client requirements. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.- Monitor project progress and provide regular updates to stakeholders to ensure alignment with project objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data warehousing concepts and technologies.- Ability to work with various data modeling tools and software. Additional Information:- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Ab Initio Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet the needs of the clients effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of data integration and ETL processes.- Experience with performance tuning and optimization of data processing.- Familiarity with data warehousing concepts and methodologies.- Ability to troubleshoot and resolve complex technical issues. Additional Information:- The candidate should have minimum 7.5 years of experience in Ab Initio.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet the needs of the clients effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data warehousing concepts and technologies.- Ability to analyze and optimize data models for performance. Additional Information:- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse, Manual Testing Good to have skills : Data EngineeringMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to navigate complex data environments, providing insights and recommendations that drive effective data management and governance practices. Key Responsibilities:a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud)b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirementsc As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities Technical Experience:a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on atleast 2 projectsf Knowledge of Jinja template language (Macros) would be added advantageg Knowledge of Special features like DBT documentation, semantice layers creation, webhooks etc.h DBT and cloud certification is important.i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes:a client management, stakeholder management, collaboration, interpersonal and relationship building skillsb Ability to create innovative solutions for key business challengesc Eagerness to learn and develop self on an ongoing basisd Structured communication written, verbal and presentational. Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

Job Title: Data Architect Location: Bangalore ,Hyderabad,Chennai, Pune, Gurgaon - hybrid- 2/3 days WFO Experience: 8+ years Position Overview: We are seeking a highly skilled and strategic Data Architect to design, build, and maintain the organizations data architecture. The ideal candidate will be responsible for aligning data solutions with business needs, ensuring data integrity, and enabling scalable and efficient data flows across the enterprise. This role requires deep expertise in data modeling, data integration, cloud data platforms, and governance practices. Key Responsibilities: Architectural Design: Define and implement enterprise data architecture strategies, including data warehousing, data lakes, and real-time data systems. Data Modeling: Develop and maintain logical, physical, and conceptual data models to support analytics, reporting, and operational systems. Platform Management: Select and oversee implementation of cloud and on-premises data platforms (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, Databricks). Integration & ETL: Design robust ETL/ELT pipelines and data integration frameworks using tools such as Apache Airflow, Informatica, dbt, or native cloud services. Data Governance: Collaborate with stakeholders to implement data quality, data lineage, metadata management, and security best practices. Collaboration: Work closely with data engineers, analysts, software developers, and business teams to ensure seamless and secure data access. Performance Optimization: Tune databases, queries, and storage strategies for performance, scalability, and cost-efficiency. Documentation: Maintain comprehensive documentation for data structures, standards, and architectural decisions. Required Qualifications: Bachelors or master’s degree in computer science, Information Systems, or a related field. 5+ years of experience in data architecture, data engineering, or database development. Strong expertise in data modeling, relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). Experience with modern data platforms and cloud ecosystems (AWS, Azure, or GCP). Hands-on experience with data warehousing solutions and tools (e.g., Snowflake, Redshift, BigQuery). Proficiency in SQL and data scripting languages (e.g., Python, Scala). Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and security standards. Tech Stack AWS Cloud – S3, EC2, EMR, Lambda, IAM, Snowflake DB Databricks Spark/Pyspark, Python Good Knowledge of Bedrock and Mistral AI RAG & NLP LangChain and LangRAG LLMs Anthropic Claude, Mistral, LLaMA etc.,

Azure Data Architect with 12+ yrs exp in Azure Data Bricks, Power BI, ETL, ADF, SQL, and Data Lakes. Skilled in cloud data architecture, reporting, data pipelines, and governance. Azure certified preferred. Strong leadership & Agile experience.

Minimum 8 to 10 yrs experience on EHANA/NATIVE Hana applications. Must have good HANDS on experience on EHANA/Native Hana. Expertise in EHANA object Development including HANA calculation graphical views, SQL scripted views, Scaler and table function, Stored procedures. Strong experience with SQL Script, PL/SQL, Stored Procedures, Function Calls, Designing Tables, Table Functions & HANA views (Calc Views). Apply advanced data modelling techniques, including currency conversion, variables and input parameters. Implement decision automation using business rules. Knowledge about the concept of authorization in SAP HANA, and implementing a security model using analytic privileges, SQL privileges, pre-defined roles, and schemas. Evaluate the impact of different implementation options such as table joins, aggregation, or filters. Good have the knowledge on Data provisioning Technique ( SLT/BODS) Should adhere to Data Architecture, Modelling and Coding guidelines. Preparation of Design documents and/or Technical Documents. Able to identify performance bottlenecks in HANA objects and tune those objects to improve performance. Provide and develop best practices for application development on the EHANA platform. Design applications to deal with real time reporting requirements. Provide scalable solutions for large data volumes (Terabytes of data) and complex reporting needs. Perform Hands-on analysis, design and deployment of solutions. Monitor, investigate and optimize data models and reporting performance on SAP HANA. Understand the implication of the performance of the various reporting tools and connection type. And advantage will be given if having Working experience on reporting tools such as SAP Business Objects ( Webi, AO) & SAC. Preferred to have Tableau experience as well. Location: Chandigarh,Dadra & Nagar Haveli,Hyderabad,Jammu,Lakshadweep,Nagar,New Delhi,Puducherry,Daman,Diu,Goa,Haveli,Sikkim

Position Overview Summary: The Data Engineer will expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. The Data Engineer will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. The role also will follow modern SDLC principles, test driven development and source code reviews and change control standards in order to maintain compliance with policies. This role requires a highly motivated individual with strong technical ability, data capability, excellent communication and collaboration skills including the ability to develop and troubleshoot a diverse range of problems. Responsibilities Design and develop enterprise data data architecture solutions using Hadoop and other data technologies like Spark, Scala.

Stellantis is seeking a passionate, innovative, results-oriented Information Communication Technology (ICT) Manufacturing AWS Cloud Architect to join the team. As a Cloud architect, the selected candidate will leverage business analysis, data management, and data engineering skills to develop sustainable data tools supporting Stellantiss Manufacturing Portfolio Planning. This role will collaborate closely with data analysts and business intelligence developers within the Product Development IT Data Insights team. Job responsibilities include but are not limited to Having deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms Assembling large, complex sets of data that meet non-functional and functional business requirements Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, cloud and other SQL technologies. Working with stakeholders to support their data infrastructure needs while assisting with data-related technical issues Maintain high-quality ontology and metadata of data systems Establish a strong relationship with the central BI/data engineering COE to ensure alignment in terms of leveraging corporate standard technologies, processes, and reusable data models Ensure data security and develop traceable procedures for user access to data systems Qualifications, Experience and Competency Education Bachelors or Masters degree in Computer Science, or related IT-focused degree Experience Essential Overall 10-15 years of IT experience Develop, automate and maintain the build of AWS components, and operating systems. Work with application and architecture teams to conduct proof of concept (POC) and implement the design in a production environment in AWS. Migrate and transform existing workloads from on premise to AWS Minimum 5 years of experience in the area of data engineering or data architectureconcepts, approach, data lakes, data extraction, data transformation Proficient in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies. Experience operating very large data warehouses or data lakes Investigate and develop new micro services and features using the latest technology stacks from AWS Self-starter with the desire and ability to quickly learn new technologies Strong interpersonal skills with ability to communicate & build relationships at all levels Hands-on experience from AWS cloud technologies like S3, AWS glue, Glue Catalog, Athena, AWS Lambda, AWS DMS, pyspark, and snowflake. Experience with building data pipelines and applications to stream and process large datasets at low latencies. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Desirable Familiarity with data analytics, Engineering processes and technologies Ability to work successfully within a global and cross-functional team A passion for technology. We are looking for someone who is keen to leverage their existing skills while trying new approaches and share that knowledge with others to help grow the data and analytics teams at Stellantis to their full potential! Specific Skill Requirement AWS services (GLUE, DMS, EC2, RDS, S3, VPCs and all core services, Lambda, API Gateway, Cloud Formation, Cloud watch, Route53, Athena, IAM) andSQL, Qlik sense, python/Spark, ETL optimization , If you are interested, please Share below details and Updated Resume Matched First Name Last Name Date of Birth Pass Port No and Expiry Date Alternate Contact Number Total Experience Relevant Experience Current CTC Expected CTC Current Location Preferred Location Current Organization Payroll Company Notice period Holding any offer

Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expertlevel SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelors in Computer Science, Engineering, Information Systems (Masters preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how.

Project description Application Modernization Practice is a horizontal practice, supporting all business verticals in DXC. As a Senior Modernization Architect, you'll play a pivotal role in both shaping modernization solutions and supervising delivery execution. You will partner with sales, delivery, and clients to design transformation paths from legacy to modern architectures, integrating GenAI accelerators and helping deliver tangible business value. Responsibilities Collaborate on pre-sales engagementsassessments, proposals, orals, and business case creation. Design modernization paths from legacy systems (COBOL, z/OS, etc.) to modern stacks (Java, MSA, cloud). Lead effort estimation, tool strategy selection, and transformation approach definition. Provide architectural oversight during execution to ensure value realization. Participate in tooling evaluations and PoCs involving GenAI and automation accelerators. Skills Must have 8+ years in enterprise application architecture, with at least 3 years in modernization. Proven ability to assess legacy estates and define future-state architectures. Proficiency in mainframe tech (COBOL, DB2, CICS) and modern stacks (Java, Spring, microservices). Exposure to GenAI use cases in application engineering and code conversion. Strong client communication, technical documentation, and stakeholder alignment skills. Nice to have Java, Python, C# Other Languages EnglishC1 Advanced Seniority Lead

7+ years of experience conducting statistical, research-minded analysis of variety of data types/forms with aim to utilize this analysis into building or optimizing predictive methods 5+ years experience in programming with languages such as Python, R, SAS 4+ years of deep, hands-on experience with machine Learning applied to the healthcare or other high-stakes domains (direct experience in a cloud environment is highly valued) Previous exposure to healthcare provider data, payer data, patient generated data, Iot data would be advantage. Experience applying computational algorithms, statistical and programming methods using (R and Python) to structured and unstructured data Demonstrable success within a Data Science environment focused on agile thinking and innovative solutions, delivering complex and large-scale projects

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:. Write clean, efficient code for data processing and transformation. Debug and resolve technical issues. Evaluate and review code to ensure quality and compliance. Required Qualifications:. 1+ year of Data Analysis experience. Strong knowledge of Python, R, or SQL. Proficiency in data visualization tools (e.g., Tableau, Power BI). Statistical analysis expertise. Why Join Us. Competitive pay (‚1000/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:. Write clean, efficient code for data processing and transformation. Debug and resolve technical issues. Evaluate and review code to ensure quality and compliance. Required Qualifications:. 1+ year of Data Analysis experience. Strong knowledge of Python, R, or SQL. Proficiency in data visualization tools (e.g., Tableau, Power BI). Statistical analysis expertise. Why Join Us. Competitive pay (‚1000/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:. Write clean, efficient code for data processing and transformation. Debug and resolve technical issues. Evaluate and review code to ensure quality and compliance. Required Qualifications:. 1+ year of Data Analysis experience. Strong knowledge of Python, R, or SQL. Proficiency in data visualization tools (e.g., Tableau, Power BI). Statistical analysis expertise. Why Join Us. Competitive pay (‚1000/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:. Write clean, efficient code for data processing and transformation. Debug and resolve technical issues. Evaluate and review code to ensure quality and compliance. Required Qualifications:. 1+ year of Data Analysis experience. Strong knowledge of Python, R, or SQL. Proficiency in data visualization tools (e.g., Tableau, Power BI). Statistical analysis expertise. Why Join Us. Competitive pay (‚1000/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. . Shape the future of AI with Soul AI!.

Role & responsibilities Experience: 8-10 years in the Data and Analytics domain with expertise in the Microsoft Data Tech stack. Leadership: Experience in managing teams of 8-10 members. Technical Skills: Expertise in tools like Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, SQL Server, Azure Databricks, etc. Strong understanding of data architecture, pipelines, and governance. Understanding of one of the other data platforms like Snowflake or Google Big query or Amazon Red shift will be a plus and good to have skill. Tech stack - DBT and Databricks or Snowflake Microsoft BI - PBI, Synapse and Fabric Project Management: Proficiency in project management methodologies (Agile, Scrum, or Waterfall). Key Responsibilities Project Delivery & Management: Involved in the delivery of project. Help and define project plan, and ensure timelines are met in project delivery. Maintain quality control and ensure client satisfaction at all stages. Team Leadership & Mentorship: Lead, mentor, and manage a team of 5 to 8 professionals. Conduct performance evaluations and provide opportunities for skill enhancement. Foster a collaborative and high-performance work environment. Client Engagement: Act as the primary point of contact on technical front. Understand client needs and ensure expectations are met or exceeded. Conduct and do bi-weekly and monthly reviews on projects with customer. Technical Expertise & Innovation: Stay updated with the latest trends in Microsoft Data Technologies (Microsoft Fabric, Azure Synapse, Power BI, SQL Server, Azure Data Factory, etc.). Provide technical guidance and support to the team. Regards, Ruchita Shete Busisol Sourcing Pvt. Ltd. Tel No: 7738389588 Email id: ruchita@busisol.net

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below 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 Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: Cisco Routing and Switching. Experience5-8 Years.

Role Purpose Principal Consultants are expected to have a deep area of consulting expertise, with a good understanding of the clients business landscape and an ability to manage the delivery of consulting solutions that achieve clear business value. The role may have managerial responsibilities in leading a team of consultants and managing quality and internal compliance in business operations. Principal Consultants develop and support closure of sales opportunities through their consulting expertise and client relationships. The Principal Consultant must achieve high personal billability. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETRM systems. Work on data integration projects within the Energy Trading and Risk Management (ETRM) domain. Collaborate with cross-functional teams to integrate data from ETRM trading systems like Allegro, RightAngle, and Endur. Optimize and manage data storage solutions in Data Lake and Snowflake. Develop and maintain ETL processes using Azure Data Factory and Databricks. Write efficient and maintainable code in Python for data processing and analysis. Ensure data quality and integrity across various data sources and platforms. Ensure data accuracy, integrity, and availability across various trading systems. Collaborate with traders, analysts, and IT teams to understand data requirements and deliver robust solutions. Optimize and enhance data architecture for performance and scalability Mandatory Skills: Azure Data Factory (ADF) Data Lake Snowflake/ SQL Python/ pyspark Fast API Databricks Good to have Experience in ETRM domain Streamlit Integration with trading systems like Allegro, RightAngle, Endur Display Strategic Objectives Parameter Description Measure (Select relevant measures/ modify measures after speaking to your Manager) Deliver growth in consulting revenues Support business performance for direct consulting against relevant quarterly/annual targets Lead end-to-end sales cycle for specific pursuits Improve quality of consulting by flawlessly leading/delivering strategic advisory/transformation engagements along with ownership of client expectation management, quality control and delivery assurance, issue management, client insight and value capture, work planning and execution, and effective client communications % Revenue Achievement (actual vs. target) % of Personal Utilisation Achievement (against target) No. of RFI/RFPs responses led/supported No. of strategic advisory and transformation engagements delivered No. of referenceable clients, testimonials Average CSAT, PCSAT across projects Generate Impact Enable pull through business/ impact for Wipro through front end consulting engagements/deal pursuit/client relationships Number and value of downstream opportunities generated/converted for GCG and larger Wipro Grow market positioning Elevate Wipro positioning in existing accounts through thought leadership and actively contributing to clients strategic transformations Lead the development of thought leadership/offerings/assets for the practice to support business growth Eminence and thought leadership demonstrated through content, citations and testimonials Number of white papers authored, evidence of assets like Repeatable IP, Frameworks & Methods authored/contributed Number of senior level thought leadership sessions/ roadshows with clients and industry forums delivered from the front Provide consulting leadership to accounts Generating growth and integration across the consulting services, growing client relationship profile and supporting the achievement of the Wipro-wide account objectives Work with GCP/CCP/GCG Account Lead/Account team to grow consulting service portfolio, ensuring integration of propositions and collaboration across GCG Number of credible business side relationships built in client organizations Number & $ value of integrated consulting deals supported Grow the consulting talent Grow consulting team talent at B3 and below levels in line with business demand and in line with Consulting Competency Framework Meritocracy and ActionsNumber of consultants rewarded/recognized Cross-Skilling - Numbers of reporting consultants worked on joint projects cutting across the different practices within GCG Self Development Min 32 hrs on training in a year. Combination of online and classroom. Build the consulting community Individual contribution to People Development and Collaboration Effectiveness to the level expected of others performing this Role Distinct participation in and demonstration of: Collaboration across GCG - through the contribution to cross-practice offerings, sharing of best practices/industrial/technological expertise, sharing of talent pool Knowledge Management - Number of webinars/knowledge sharing/thought leadership sessions conducted, Number of Assets owned and contributed to Consulting Central

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: ERWIN. Experience5-8 Years.

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processinganalysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Network Operations - Utilities. Experience8-10 Years.