779 Sql Azure Jobs - Page 5

Role: Azure Specialist-DBT Location: Bangalore Mode: Remote Education and Work Experience Requirements: •Overall, 5 to 9 years of experience in IT Industry. Min 6 years of experience working on Data Engineering. Translate complex business requirements into analytical SQL views using DBT Support data ingestion pipelines using Airflow and Data Factory Develop DBT macros to enable scalable and reusable code automation Mandatory Skills: Strong experience with DBT (Data Build Tool)( (or strong SQL / relational DWH knowledge)-Must have Proficiency in SQL and strong understanding of relational data warehouse concept Hands-on experience with Databricks (primarily Databricks SQL) good to have Familiarity with Apache Airflow and Azure Data Factory – nice to have Experience working with Snowflake – nice to have Additional Information: Qualifications - BE, MS, M.Tech or MCA. Certifications: Azure Big Data, Databricks Certified Associate

KPMG India is looking for Azure Data Engineer - Consultant Azure Data Engineer - Consultant to join our dynamic team and embark on a rewarding career journey Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements Solution design using Microsoft Azure services and other tools The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications Build data pipelines to collectively bring together data Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse

Project description As a SQL Server Database Developer, you will play a key role in building and optimizing database systems based on SQL Server. You will collaborate with developers, data analysts, and stakeholders to ensure data integrity, performance, and security, as well as provide efficient database solutions that align with business needs. Responsibilities Database DevelopmentDesign, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development. Query OptimizationWrite and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation. Data ModelingDesign logical and physical data models, and create efficient database schemas to meet business requirements. Data IntegrationDevelop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools. Performance TuningAnalyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance. Database MaintenancePerform database management tasks, including backups, restores, index maintenance, and database monitoring. CollaborationWork closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs. Troubleshooting & DebuggingIdentify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies. Security & ComplianceEnsure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data. DocumentationCreate and maintain documentation for database schemas, processes, and procedures. Skills Must have 7+ years of experience in SQL Server Database Development. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers. Experience with SQL Server 2016/2019 or later versions. Strong understanding of database design, normalization, and data modeling. Experience with SSIS (SQL Server Integration Services) for ETL processes. Proficiency in performance tuning, including query optimization and indexing strategies. Experience in database security, including role-based permissions and data encryption. Familiarity with database backup, restore, and disaster recovery procedures. Experience with version control systems like Git for managing database scripts. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services). Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies. Familiarity with PowerShell scripting for database automation. Understanding of Agile methodologies and experience working in an Agile development environment. Experience with DevOps tools for database CI/CD automation.

Project description As a SQL Server Database Developer, you will play a key role in building and optimizing database systems based on SQL Server. You will collaborate with developers, data analysts, and stakeholders to ensure data integrity, performance, and security, as well as provide efficient database solutions that align with business needs. Responsibilities Database DevelopmentDesign, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development. Query OptimizationWrite and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation. Data ModelingDesign logical and physical data models, and create efficient database schemas to meet business requirements. Data IntegrationDevelop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools. Performance TuningAnalyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance. Database MaintenancePerform database management tasks, including backups, restores, index maintenance, and database monitoring. CollaborationWork closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs. Troubleshooting & DebuggingIdentify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies. Security & ComplianceEnsure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data. DocumentationCreate and maintain documentation for database schemas, processes, and procedures. Skills Must have 7+ years of experience in SQL Server Database Development. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers. Experience with SQL Server 2016/2019 or later versions. Strong understanding of database design, normalization, and data modeling. Experience with SSIS (SQL Server Integration Services) for ETL processes. Proficiency in performance tuning, including query optimization and indexing strategies. Experience in database security, including role-based permissions and data encryption. Familiarity with database backup, restore, and disaster recovery procedures. Experience with version control systems like Git for managing database scripts. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services). Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies. Familiarity with PowerShell scripting for database automation. Understanding of Agile methodologies and experience working in an Agile development environment. Experience with DevOps tools for database CI/CD automation.

Project description As a SQL Server Database Developer, you will play a key role in building and optimizing database systems based on SQL Server. You will collaborate with developers, data analysts, and stakeholders to ensure data integrity, performance, and security, as well as provide efficient database solutions that align with business needs. Responsibilities Database DevelopmentDesign, develop, and maintain SQL Server databases, tables, views, stored procedures, functions, and triggers to support application development. Query OptimizationWrite and optimize complex T-SQL queries for performance, ensuring efficient data retrieval and manipulation. Data ModelingDesign logical and physical data models, and create efficient database schemas to meet business requirements. Data IntegrationDevelop ETL processes to import, export, and transform data between systems using SQL Server Integration Services (SSIS) or other data integration tools. Performance TuningAnalyze and optimize database performance, including indexing, query tuning, and database configuration for optimal performance. Database MaintenancePerform database management tasks, including backups, restores, index maintenance, and database monitoring. CollaborationWork closely with software developers, data analysts, and business stakeholders to gather requirements and develop database solutions that meet business needs. Troubleshooting & DebuggingIdentify, troubleshoot, and resolve database issues such as performance bottlenecks, query inefficiencies, and data inconsistencies. Security & ComplianceEnsure database security, manage user permissions, and implement encryption and other security measures to protect sensitive data. DocumentationCreate and maintain documentation for database schemas, processes, and procedures. Skills Must have 7+ years of experience in SQL Server Database Development. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Proficiency in T-SQL, with the ability to write and optimize complex queries, stored procedures, and triggers. Experience with SQL Server 2016/2019 or later versions. Strong understanding of database design, normalization, and data modeling. Experience with SSIS (SQL Server Integration Services) for ETL processes. Proficiency in performance tuning, including query optimization and indexing strategies. Experience in database security, including role-based permissions and data encryption. Familiarity with database backup, restore, and disaster recovery procedures. Experience with version control systems like Git for managing database scripts. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Nice to have Experience with SSRS (SQL Server Reporting Services) and SSAS (SQL Server Analysis Services). Knowledge of cloud-based SQL Server (Azure SQL Database, AWS RDS for SQL Server) and related technologies. Familiarity with PowerShell scripting for database automation. Understanding of Agile methodologies and experience working in an Agile development environment. Experience with DevOps tools for database CI/CD automation.

1. C#, Microsoft SQL Server or Azure SQL, Azure Cosmos DB, Azure Service Bus, Azure Function Apps, Auth0, Web Sockets 2. Strong development experience in C# and .NET core technologies built up across a range of different projects 3. Experience of developing API's which conform as much as possible to REST principles in terms of Resources, Sub Resources, Responses, Error Handling 4. Experience of API design and documentation using Open API 3.x YAML Swagger 5. Some familiarity with AWS, and especially Elastic Search would be beneficial but not mandatory. 6. Azure Certifications an advantage Mandatory Competencies Programming Language - .Net Full Stack - Angular Programming Language - .Net - .NET Core Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - Azure - ServerLess (Function App Logic App) Database - Sql Server - SQL Packages Programming Language - Other Programming Language - C# Middleware - API Middleware - Microservices Middleware - API Middleware - API (SOAP, REST)

Hands on experience in Microsoft technologies .Net Core .Net Web API, MVC C# SQL Server JavaScript jQuery Entity Framework Identity Server Microsoft Azure (App Services, Azure SQL, Azure AD, VM) VueJS & Angular Experience on Object Oriented programming practices (SOLID principles, Design pattern etc) Proficient in database schema (SPs/triggers) design Development and optimization with RDBMS database Hands on experience in designing web application for high performance is must have Knowledge of authentication protocols (WS-Federation, SAML2P, OAuth 2, OpenID Connect) Strong design Coding and debugging skills is a must have Working knowledge of Microsoft design patterns SOLID principles Development best practices Strong Communication Skills - Should be interact with client stakeholders to probe a technical problem or clarify requirement specifications Mandatory Competencies Programming Language - .Net - .NET Core Programming Language - .Net Full Stack - Angular Programming Language - .Net Full Stack - Angular2+ Database - Other Databases - PostgreSQL Programming Language - .Net Full Stack - ASP.NET MVC Programming Language - .Net Full Stack - Javascript Programming Language - .Net Full Stack - Jquery Beh - Communication and collaboration Cloud - Azure - ServerLess (Function App Logic App) Database - Sql Server - SSIS/ SSAS Programming Language - Other Programming Language - C# User Interface - Other User Interfaces - Vue.js

Role Overview: We are seeking an experienced Azure Cloud Modernization and Transformation Architect to lead cloud transformation engagements and modernize legacy systems for enterprise clients. This role demands deep expertise in Azure services, architectural design, and a strong understanding of cloud security, scalability, and cost optimization. The architect will act as a trusted advisor, working collaboratively with stakeholders to assess, plan, design, and execute end-to-end Azure-based cloud solutions. Key Responsibilities: Assess clients' current IT infrastructure, applications, and workloads to identify modernization opportunities. Develop tailored Azure migration strategies and transformation roadmaps aligned with business goals. Design and implement scalable, secure, and cost-effective Azure solutions across IaaS, PaaS, and SaaS offerings. Lead end-to-end cloud migration and modernization projects, ensuring best practices and compliance standards are met. Provide architectural guidance and hands-on support across infrastructure, application, and data modernization. Collaborate with cross-functional teams (DevOps, Security, Development, etc.) to ensure cohesive solution delivery. Stay current with Azure innovations and trends; evaluate and recommend emerging technologies where relevant. Deliver architecture documentation including HLDs, LLDs, security blueprints, and operational models. Conduct workshops and training sessions to enable client teams in Azure tools and cloud-native best practices. Provide post-deployment support, performance tuning, and continuous optimization recommendations. Required Skills & Experience: Proven experience in Azure cloud architecture, design, and implementation. Strong understanding of cloud governance, security, identity, and networking in Azure. Expertise in Azure services including but not limited to: Azure Virtual Machines, Azure App Services, Azure SQL, Azure Kubernetes Service (AKS), Azure DevOps, Azure Storage, Azure Networking, and Azure Monitor. Experience with cloud migration tools (e.g., Azure Migrate, ASR) and methodologies. Familiarity with IaC (Infrastructure as Code) tools like ARM Templates, Bicep, or Terraform. Solid understanding of enterprise IT systems, infrastructure, and software development life cycles. Excellent communication, client-facing, and stakeholder management skills. Relevant Azure certifications (e.g., Azure Solutions Architect Expert ) are highly preferred.

We are hiring for HR Analyst with one of Big 4 clients. Interested candidates, kindly share your resume to arpitha.k@dynpro.in Experience: 4-7 Years IMMEDIATE JOINERS ONLY Qualifications: Must Have 3+ years of hand-on experience with .Net Web API development. 3+ years of experience with .Net Core development 3+ year of experience with Azure cloud development. Strong hands-on exposure to various Azure services 2+ Years of Angular/React web-UI development experience. 2+ years of hands-on experience with JavaScript, HTML, and CSS Good to Have Knowledge of Generative AI Experience: 4-6 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM

Location:Kochi, Coimbatore, Trivandrum Must have skills:Python/Scala, Pyspark/Pytorch Good to have skills:Redshift Job Summary Youll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional and Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering Qualification Experience:3.5 -5 years of experience is required

As a Senior .Net Developer with a minimum of 7 years of experience, you will play a crucial role in developing applications by creatively selecting appropriate technical options to optimize development, maintenance, and performance. You will be responsible for interpreting application feature and component designs, coding, debugging, testing, documenting, and communicating product development stages. Your expertise will be essential in validating results with user representatives, integrating solutions, and ensuring overall efficiency, cost-effectiveness, and quality. Moreover, you will be expected to provide technical leadership by advising software developers on design and development, learning about customer domains to add value, and completing relevant domain certifications. Your role will involve managing projects, defects, knowledge, releases, teams, and certifications efficiently. You will also be required to interact with customers to clarify requirements, provide guidance, present design options, and conduct product demos. Your proficiency in various technical skills such as .Net, SQL Azure, Rest API, Vue.Js, and knowledge of Agile methodologies, Azure services, Docker, Git, RESTful services, and Cloud infrastructure will be instrumental in delivering high-quality software solutions. Additionally, your ability to mentor and coach engineers, work effectively in a co-located environment, and communicate complex technical concepts clearly will be highly valued. Joining UST, a global digital transformation solutions provider, will give you the opportunity to work alongside some of the best companies in the world, driving real impact through innovation and agility. With a future-proof philosophy and deep domain expertise, UST empowers its clients to transform their organizations for boundless impact, reaching billions of lives worldwide.,

Active Directory Minimum 15 years experience in on premise active directory Design an Active Directory structure for a multinational organization with multiple forests and domains while ensuring high availability and disaster recovery Authentication & Silo polices Understanding of Red Forest concept & RBAC model Securing active directory environment Fine Grain password policies Usage of ADSI Edit and LDP for recovery or advanced troubleshooting. Purpose of Kerberos delegation, and when would you use constrained delegation versus unconstrained delegation Understanding of SPNs working AD Lightweight Directory Tools (AD LDS) in an enterprise environment. Expert knowledge on DC partition, FSMO roles, seizure, and transfer. Understanding of Forest and Domain level functional level. Understanding of LDAP.LDS. Hands on experience and strong troubleshooting skill in AD replication, Sites, KCC, etc., experience in planning and implementation of Active Directory Replication. Entra ID Minimum 5 years experience on Entra ID Password less authentication, and its advantages over traditional methods. Conditional Access policies & Configuration Mitigate risk of phishing attacks using Entra ID Azure Networking and Connectivity Troubleshoot connectivity issues between an Azure Virtual Machine (VM) and an on-premises network in a hybrid environment. Resolve issues with Azure Virtual Network (VNet) peering not working as expected Diagnose and fix problems with Azure Load Balancer distribution or availability. Virtual Machines Troubleshoot a VM that is stuck in a "Failed" or "Unresponsive" state in Azure Resolve Remote Desktop Protocol (RDP) or Secure Shell (SSH) access issues on an Azure VM Recover a deleted disk from a deallocated VM Azure Storage Diagnose and resolve Azure Storage performance degradation issues Azure Identity and Access Troubleshoot Azure Active Directory (AAD) login issues for users or applications Azure App Services Diagnose and fix a web app in Azure App Service that is experiencing downtime or performance degradation Azure SQL and Databases Troubleshoot connectivity or latency issues with an Azure SQL Database 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 Active Directory Minimum 10 years experience in on premise active directory. Expert knowledge on DC partition, FSMO roles, seizure, and transfer. Understanding of Forest and Domain level functional level. Understanding of LDAP.LDS. Hands on experience and strong troubleshooting skill in AD replication, Sites, KCC, etc., experience in planning and implementation of Active Directory Replication. Expert knowledge and must have hands on experience on DC replication and underlying issues. health check commands. Understanding of Trusts and knowledge on validating trusts, experience in designing and deploying new Active Directory domains and domain/ forest trusts. Expert knowledge and must have worked on OUs, GPOs, GPO Modelling and analysing the issues. Active Directory Minimum 15 years experience in on premise active directory Design an Active Directory structure for a multinational organization with multiple forests and domains while ensuring high availability and disaster recovery Authentication & Silo polices Understanding of Red Forest concept & RBAC model Securing active directory environment Fine Grain password policies Usage of ADSI Edit and LDP for recovery or advanced troubleshooting. Purpose of Kerberos delegation, and when would you use constrained delegation versus unconstrained delegation Understanding of SPNs working AD Lightweight Directory Tools (AD LDS) in an enterprise environment. Expert knowledge on DC partition, FSMO roles, seizure, and transfer. Understanding of Forest and Domain level functional level. Understanding of LDAP.LDS. Hands on experience and strong troubleshooting skill in AD replication, Sites, KCC, etc., experience in planning and implementation of Active Directory Replication. Entra ID Minimum 5 years experience on Entra ID Password less authentication, and its advantages over traditional methods. Conditional Access policies & Configuration Mitigate risk of phishing attacks using Entra ID Azure Networking and Connectivity Troubleshoot connectivity issues between an Azure Virtual Machine (VM) and an on-premises network in a hybrid environment. Resolve issues with Azure Virtual Network (VNet) peering not working as expected Diagnose and fix problems with Azure Load Balancer distribution or availability. Virtual Machines Troubleshoot a VM that is stuck in a "Failed" or "Unresponsive" state in Azure Resolve Remote Desktop Protocol (RDP) or Secure Shell (SSH) access issues on an Azure VM Recover a deleted disk from a deallocated VM Azure Storage Diagnose and resolve Azure Storage performance degradation issues Azure Identity and Access Troubleshoot Azure Active Directory (AAD) login issues for users or applications Azure App Services Diagnose and fix a web app in Azure App Service that is experiencing downtime or performance degradation Azure SQL and Databases Troubleshoot connectivity or latency issues with an Azure SQL Database

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 Mandatory Skills: Azure Integration Experience : 5-8 Years .

AD/AAD: Azure AD Architect Azure Group Policy, Groups, OU creation/modification/deletion Azure Conditional Access policy creation/modification/deletion Azure Access Package creation MTO sync and Entity integration App registration Audit closure Vulnerability and Risk closure New feature rollout AD to AAD sync Automations of repetitive tasks Handling outages Troubleshoot Active Directory authentication and LDAP configuration issues Work cross functional with other teams to drive initiatives Developing comprehensive test cases to include testing scenarios for both normal and degraded (e.g., disaster recovery, continuity of operations, data recovery/spills, ) operations, pass/fail criteria, performance criteria, capacity planning, measurement criteria, results analysis procedures, and results/status reporting criteria Knowledge of certificate-based authentication, PKI and ADFS infrastructure Replication Maintenance Event Log Management Systems Auditing Familiar with PowerShell scripting

SUMMARY We are looking for a highly motivated Azure Data engineer to join our dynamic development team. This is an exciting opportunity for an individual who is passionate about working on trending technology and wants to contribute to the growth of our company. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines and use Azure Data Factory and Azure Stream Analytics • Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. • Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness. • Implement data governance and security best practices to ensure compliance and data integrity. • Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring. Proven experience as a Data Engineer or in a similar role. • Experience in designing and hands-on development in cloud-based (Azure) analytics solutions. • Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure App Service, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. • Experience in SQL server and procedures. • Thorough understanding of Azure Infrastructure offerings. • Strong experience in common data warehouse modelling principles including Kimball, Inmon. • Experience in additional Modern Database terminologies. • Working knowledge of Python or Java or Scala is desirable • Strong knowledge of data modeling, ETL processes, and database technologies • Solid understanding of data governance, data security, and data quality best practices. • Strong analytical and problem-solving skills, with attention to detail. MANDATORY SKILLS Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure App Service, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics

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 Mandatory Skills: Azure Data Factory. Experience: 5-8 Years.

Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 6 - 10 years Key Skills: Azure Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Azure Cloud Engineer: Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like databricks Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Azure certification

Responsibilities Data engineering lead role for D&Ai data modernization (MDIP) Ideally Candidate must be flexible to work an alternative schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon coverage requirements of the job. The can didate can work with immediate supervisor to change the work schedule on rotational basis depending on the product and project requirements. Responsibilities Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential. Design, structure and store data into unified data models and link them together to make the data reusable for downstream products. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Create reusable accelerators and solutions to migrate data from legacy data warehouse platforms such as Teradata to Azure Databricks and Azure SQL. Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost. Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards. Define and manage SLAs for data products and processes running in production. Create documentation for learnings and knowledge transfer to internal associates. Qualifications 12+ years of engineering and data management experience Qualifications 12+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture. 8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools. 6+ years of experience in SQL optimization and performance tuning on MS SQL Server, Azure SQL or any other popular RDBMS 6+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks 4+ years in cloud data engineering experience in Azure or AWS. Fluent with Azure cloud services. Azure Data Engineering certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one business intelligence tool such as Power BI or Tableau Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like ADO, Github and CI/CD tools for DevOps automation and deployments. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. BA/BS in Computer Science, Math, Physics, or other technical fields. Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job. Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals. Ability to lead others without direct authority in a matrixed environment. Comfortable working in a hybrid environment with teams consisting of contractors as well as FTEs spread across multiple PepsiCo locations. Domain Knowledge in CPG industry with Supply chain/GTM background is preferred.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Job Title - Data Engineer Sr.Analyst ACS Song Management Level:Level 10- Sr. Analyst Location:Kochi, Coimbatore, Trivandrum Must have skills:Python/Scala, Pyspark/Pytorch Good to have skills:Redshift Job Summary Youll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional and Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture (do not remove the hyperlink)Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : .Net Full Stack Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational goals, ensuring that the solutions provided are effective and efficient.Must Require Skill Sets:C#.NET Core Asp.Net CoreOOP concepts Web APIs Azure DevOps HTML, JavaScript, CSS MVC Razor React is good to have. Good Experience with Azure SQL DatabaseAzure API managementAzure Application InsightsAzure FunctionsAzure Key VaultAzure App ServiceAzure Event GridAzure Cache for RedisAzure Storage AccountAzure Pipelines (Azure DevOps)Azure SQL Database Azure Active Directory-Oracle Knowledge an advantage 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.- Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in .Net Full Stack Development.- Strong understanding of web development frameworks and technologies.- Experience with database management and optimization techniques.- Familiarity with cloud services and deployment strategies.- Ability to implement best practices in software development and design patterns. Additional Information:- The candidate should have minimum 5 years of experience in .Net Full Stack Development.- 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 Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure PaaS Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Any Btech degree Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. 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- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure PaaS- Strong understanding of cloud computing principles- Experience in designing and implementing scalable applications- Knowledge of DevOps practices and tools- Hands-on experience with Azure services such as Azure Functions and Azure SQL Database Additional Information:- The candidate should have a minimum of 7.5 years of experience in Microsoft Azure PaaS- This position is based at our Pune office- A Btech degree is required Qualification Any Btech degree

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Key Accountabilities : Responsible for design, develop, and maintain Power BI reports and dashboards for enterprise-wide users. Work closely with business users, business analysts, data engineers, and stakeholders to gather requirements and translate them into technical solutions. Analyze complex business and operational system requirements and recommend solution options. Integrate data from various sources into Power BI using SQL queries, SharePoint, and Dataflows to provide comprehensive insights. Write and optimize SQL queries to extract and manipulate data for reporting purposes. Participate in meetings and discussions to understand business needs and provide technical insights. Stay updated with the latest developments and best practices in Power BI, SQL, and Power Platform. Propose and implement improvements to existing reports, dashboards, and processes. Experience working in Agile development software methodology, authoring technical documents / specifications. Responsible to support the production environment to assist the business users for any issues related to data and reporting. Skills: A minimum of 5 years’ experience with the entire Power BI stack is required. Proficiency in Power BI, including Power Query, DAX, and Power BI Service. Strong understanding of data modeling, data warehousing, and ETL/ELT processes. Experience working with data sources like SQL Server, Oracle, Azure SQL, Azure Synapse, Databricks, Blob Storages & Data Lakes. Strong understanding of data visualization best practices. Excellent analytical and problem-solving skills. Familiarity with Agile development methodologies. Knowledge of standard ITL process. Excellent interpersonal, verbal and written communication skills. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment. Good To Have: Experience with Microsoft Power Platform (Power Apps, Power Automate). Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power BI, etc.). Experience using Git for version control and deployment. Knowledge of Microsoft Fabric. Experience coding in Python. Knowledge and Experience : 5 to 7 years of experience in Information Technology. Education: Bachelor’s degree in computer science, data science, software development, or another related field; a master’s degree is recommended.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences