292 Database Creation Jobs - Page 2

We are looking for a skilled Database Developer to join our team at Harmony Data Integration Technologies, with 5-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Design, develop, and implement database solutions to meet business requirements. Collaborate with cross-functional teams to identify and prioritize project needs. Develop and maintain databases using various technologies and tools. Ensure data quality, integrity, and security by implementing appropriate measures. Optimize database performance and troubleshoot issues as needed. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong understanding of database concepts, data modeling, and design principles. Proficiency in writing efficient SQL queries and stored procedures. Experience with database management systems such as MySQL or PostgreSQL. Knowledge of data integration technologies and tools is an added advantage. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies Database - PostgreSQL - PostgreSQL Database - Sql Server - SQL Packages ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Beh - Communication

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. ________________________________________ Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Design, develop, and implement Java-based applications with a focus on database interactions. Create and optimize database schemas, queries, and stored procedures. Collaborate with cross-functional teams to define and understand application requirements. Ensure data integrity and security through effective database management practices. Troubleshoot and resolve database-related issues and performance bottlenecks. Conduct code reviews and provide constructive feedback to peers. Stay updated with industry trends and best practices in Java development and database management. Qualifications: 5-8 years of experience in Java development with a focus on database integration. Proficiency in Java programming language and related frameworks (e.g., Spring, Hibernate). Strong experience with relational databases such as MySQL, PostgreSQL, or Oracle. Knowledge of SQL and database design principles. Experience with database performance tuning and optimization. Familiarity with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Skills: Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Knowledge of cloud-based database solutions (e.g., AWS RDS, Azure SQL). Familiarity with Agile/Scrum methodologies. Mandatory Competencies Programming Language - Java - Core Java (java 8+) Fundamental Technical Skills - Spring Framework/Hibernate/Junit etc. Beh - Communication Database - Other Databases - PostgreSQL Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Database - Database Programming - SQL

Proven hands on knowledge in Oracle PL/SQL Good fundamental knowledge of Oracle database architecture Well versed with performance optimization techniques Good understanding of Agile methodology Good communication skills Good problem solving , debugging and troubleshooting Skills. Mandatory Competencies Database - Oracle - PL/SQL Packages Database - Database Programming - PL/SQL QA - Agile Methodology Beh - Communication and collaboration

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience : 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Mandatory Skills 8+ years of proven experience as a Senior C++ and SQL Developer , working on challenging projects Strong proficiency in C++ with fair knowledge of the language specification. Thorough knowledge of the standard library STL, containers and algorithm . Good understanding of memory management in non-garbage collected environments. Good knowledge on templates in C++. Knowledge on low level threading primitives and real time environment. Implementation of automated testing platforms and unit tests. Good knowledge of Unix systems Proficient understanding of code versioning tools such as Git. Familiarity with continuous integration. Familiarity with scrum principles and sprint goals aligned to industry best practices Good collaboration skills Excellent verbal and written communication skills. Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Desirable Good domain experience in Financial services/capital markets/investment banking preferred Good knowledge in writing Stored procedures, and Performance tuning Education Qualification : B.Tech or MCA Mandatory Competencies Beh - Communication and collaboration Programming Language - Other Programming Language - C++ Database - Database Programming - SQL Operating System - Operating System - Unix

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role. Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices. Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query). Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink). Soft Skills: Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Database - Database Programming - SQL Artifical Intelligence - AI Tools - TensorFlow Cloud - AWS - ECS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Project description You'll be working in the GM Business Analytics team located in Pune. The successful candidate will be a member of the global Distribution team, which has team members in London and Pune. We work as part of a global team providing analytical solutions for IB distribution/sales people. Solutions deployed should be extensible globally with minimal localization. Responsibilities Are you passionate about data and analyticsAre you keen to be part of the journey to modernize a data warehouse/ analytics suite of application(s). Do you take pride in the quality of software delivered for each development iteration We're looking for someone like that to join us and be a part of a high-performing team on a high-profile project. solve challenging problems in an elegant way master state-of-the-art technologies build a highly responsive and fast updating application in an Agile & Lean environment apply best development practices and effectively utilize technologies work across the full delivery cycle to ensure high-quality delivery write high-quality code and adhere to coding standards work collaboratively with diverse team(s) of technologists You are Curious and collaborative, comfortable working independently, as well as in a team Focused on delivery to the business Strong in analytical skills. For example, the candidate must understand the key dependencies among existing systems in terms of the flow of data among them. It is essential that the candidate learns to understand the 'big picture' of how IB industry/business functions. Able to quickly absorb new terminology and business requirements Already strong in analytical tools, technologies, platforms, etc. The candidate must also demonstrate a strong desire for learning and self-improvement. Open to learning home-grown technologies, support current state infrastructure and help drive future state migrations. imaginative and creative with newer technologies Able to accurately and pragmatically estimate the development effort required for specific objectives You will have the opportunity to work under minimal supervision to understand local and global system requirements, design and implement the required functionality/bug fixes/enhancements. You will be responsible for components that are developed across the whole team and deployed globally. You will also have the opportunity to provide third-line support to the application's global user community, which will include assisting dedicated support staff and liaising with the members of other development teams directly, some of which will be local and some remote. Skills Must have A bachelor's or master's degree, preferably in Information Technology or a related field (computer science, mathematics, etc.), focusing on data engineering. 5+ years of relevant experience as a data engineer in Big Data is required. Strong Knowledge of programming languages (Python / Scala) and Big Data technologies (Spark, Databricks or equivalent) is required. Strong experience in executing complex data analysis and running complex SQL/Spark queries. Strong experience in building complex data transformations in SQL/Spark. Strong knowledge of Database technologies is required. Strong knowledge of Azure Cloud is advantageous. Good understanding and experience with Agile methodologies and delivery. Strong communication skills with the ability to build partnerships with stakeholders. Strong analytical, data management and problem-solving skills. Nice to have Experience working on the QlikView tool Understanding of QlikView scripting and data model

Role Description : As a Senior Cloud Security Specialist at Incedo, you will be responsible for designing and implementing security solutions for cloud-based environments. You will work with clients to understand their security needs and design security solutions that meet those needs. You will be skilled in cloud security technologies such as Amazon Web Services (AWS) Security, Microsoft Azure Security, or Google Cloud Platform (GCP) Security and have experience with security architecture design patterns such as multi-factor authentication and encryption. Roles & Responsibilities: Good-to-Have Skills (Mandatory) 1. Cloud access provisioning & automation 2. Log management, SQL, dashboards, reporting 3. Security architecture review & recommendations 4. Database programming/administration 5. Experience with security process documentation 6. Ability to act as a security SME. Technical Skills : Must-Have Skills 1. 5+ years in public cloud (AWS, Azure) 2. Strong cloud and network security knowledge 3. Experience with security tools (vulnerability scanners, IDS/IPS, firewalls, endpoint protection) 4. CI/CD and automated security testing 5. Proficient in scripting/programming (Python, Bash) 6. Experience with Unix/Linux and networking 7. Strong collaboration and communication skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Database - PostgreSQL - PostgreSQL Beh - Communication Database - Sql Server - SQL Packages

Extensive knowledge in SQL/ PLSQL/Oracle/Oracle Forms/Oracle reports/Ms SQL/Power Builder. Create and optimise packages, procedures, functions, Triggers, Views, cursors to develop application. Experience in create/modifies packages, views, procedures, Triggers, Views, cursors and functions. Create new custom Reports, Forms and modify existing Reports according to the requirement. Involve in all phases of the SDLC (Software Development Life Cycle) from analysis, design, development, testing, implementation, maintenance and reporting to the client. Experience on Evaluation, Implementation and support with a skillset of Oracle, PL-SQL. Involve in requirement gathering and coordination with users. Hands on in Oracle version 19c and 21c Strong coding knowledge in PLSQL (Bulk Collect, Recursion, Loops (FOR, WHILE DO), Nested blocks, Exception Handling) Strong Coding knowledge in SQL (Analytical functions, View and Materialized Views, Sys tables and Privileges) Good understanding of Performance tuning concepts like Access Paths, Join methods, Partitioning, etc.. Awareness about Oracle data various dictionary and their significance. Complex Queries : Nested queries, inline views, co-related subqueries Awareness about Hierarchical queries Mandatory Competencies Beh - Communication and collaboration Database - Oracle - Oracle 12c Database - Database Programming - PL/SQL Database - Database Programming - SQL

Primary Skill(s): Lead Data Visualization Engineer with experience in Sigma BI Experience: 7+ Years in of experience in Data Visualization with experience in Sigma BI, PowerBI, Tableau or Looker Job Summary: Lead Data Visualization Engineer with deep expertise in Sigma BI and a strong ability to craft meaningful, insight-rich visual stories for business stakeholders. This role will be instrumental in transforming raw data into intuitive dashboards and visual analytics, helping cross-functional teams make informed decisions quickly and effectively. Key Responsibilities: Lead the design, development, and deployment of Sigma BI dashboards and reports tailored for various business functions. Translate complex data sets into clear, actionable insights using advanced visualization techniques. Collaborate with business stakeholders to understand goals, KPIs, and data requirements. Build data stories that communicate key business metrics, trends, and anomalies. Serve as a subject matter expert in Sigma BI and guide junior team members on best practices. Ensure visualizations follow design standards, accessibility guidelines, and performance optimization. Partner with data engineering and analytics teams to source and structure data effectively. Conduct workshops and training sessions to enable business users in consuming and interacting with dashboards. Drive the adoption of self-service BI tools and foster a data-driven decision-making culture. Required Skills & Experience: 7+ years of hands-on experience in Business Intelligence, with at least 2 years using Sigma BI. Proven ability to build end-to-end dashboard solutions that tell a story and influence decisions. Strong understanding of data modeling, SQL, and cloud data platforms (Snowflake, BigQuery, etc.). Demonstrated experience working with business users, gathering requirements, and delivering user-friendly outputs. Proficient in data storytelling, UX design principles, and visualization best practices. Experience integrating Sigma BI with modern data stacks and APIs is a plus. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with other BI tools (such as Sigma BI, Tableau, Power BI, Looker) is a plus. Familiarity with AWS Cloud Data Ecosystems (AWS Databricks). Background in Data Analysis, Statistics, or Business Analytics. Working Hours: 2 PM 11 PM IST [~4.30 AM ET 1.30 PM ET]. Communication skills: Good Mandatory Competencies BI and Reporting Tools - BI and Reporting Tools - Power BI BI and Reporting Tools - BI and Reporting Tools - Tableau Database - Database Programming - SQL Cloud - GCP - Cloud Data Fusion, Dataproc, BigQuery, Cloud Composer, Cloud Bigtable Data Science and Machine Learning - Data Science and Machine Learning - Databricks Cloud - AWS - ECS DMS - Data Analysis Skills Beh - Communication and collaboration

Database Designing, Data Modelling, and Core Component Implementation Data Integration and Relational Data Modelling Optimization and Performance Tuning Automating Backup and Purging Processes Reverse Engineering of Existing Applications Basic SQL Requirement Gathering and Technical Documentation Data Analysis for Migration of Database Objects and Application Data Data Analysis for Postgres or Oracle DB Good to Have Basic Knowledge of Cloud Architecture, Snowflakes, Python Development/Modification of Major Database Components Data Transformation Using SSIS Mandatory Competencies Database - Oracle - Data Modelling Database - Database Programming - SQL Beh - Communication Database - Sql Server - DBA Database - Other Databases - PostgreSQL

You are invited to apply for the position of Senior WordPress Developer at Semiosis Software based in Jaipur. With a minimum of 2 to 5 years of experience in WordPress, HTML, CSS, jQuery, and PHP, you will play a crucial role in both front-end and back-end development of WordPress websites. As part of the team, you will need to demonstrate flexibility in working independently as well as collaboratively. Your responsibilities will include WordPress customization based on project requirements, theme development, WooCommerce development, REST API integration, plugin development and customization, troubleshooting, performance, and security optimization. To excel in this role, it is imperative that you have a minimum of 2 years of experience in WordPress theme and plugin development/customization. Your expertise should encompass the ability to develop custom plugins or modify existing ones to meet project needs, estimate project timelines accurately, work both independently and as a team player, create and update databases and custom modules, utilize WordPress tables effectively, code, debug, conduct unit testing, and document code and applications. Proficiency in PHP programming language, custom theme development (including Child Themes), and optimizing WordPress websites using benchmarking tools like GTmetrix and Google Page Speed is essential. This full-time position requires a minimum qualification of B.Sc. (IT), BCA, or MCA with a work schedule from 10 AM to 7 PM in Jaipur. The ideal candidate should possess attributes such as being keen, passionate, speculative, and self-motivated. If you meet the requirements and have a proactive attitude, Semiosis Software welcomes you to become part of a dynamic team dedicated to success. By joining Semiosis Software, you will be a part of a reputed organization specializing in mobile app development and IT solutions. We prioritize the professional growth and career advancement of our team members, providing a positive work environment with recreational activities, parties, and outings to ensure work satisfaction and productivity. Incentives and reward schemes are in place to motivate our team to deliver exceptional results. If you are excited about this opportunity and aspire to excel in your career, we invite you to submit your CV to hr@semiosissoftware.com.,

Office 365 Administration (20%) : Very Good Work experience in administrating Office 365 & Exchange On-Premises Servers with versions 2016 and 2019. Good understanding of Azure AD Connect Server and management. Understanding in Office 365 Authentications, SSO, MFA etc. Good Understanding in Exchange Online Protection (EOP). Good understanding of Azure AD and CA Policies etc. Excellent Knowledge on Exchange and Office 365 PowerShell scripts. Exchange Server Administration & Migration (20%) : Install, configure & troubleshoot different roles of Exchange servers. Mailbox Database and Public Folder Database Creation, Deletion, handling permission issues and managing replication. Managing DAG and CAS Arrays, troubleshooting failover issues, addition, and deletion of Exchange servers from clusters. Day to day administration, support, maintenance and monitoring of the MS Exchange 2010/2013/2016 and 2019 infrastructure. Microsoft Teams Management (15%) : Good understanding and work experience in terms of managing and supporting Microsoft Teams. Administer and manage the Microsoft Teams Admin Portal. Configure and maintain Teams policies, settings, and permissions. Monitor Teams usage and performance and troubleshoot issues. Microsoft Teams (L3), M365 Exchange Online, M365 Mailbox Migration 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 Office 365 Administration (20%) : Very Good Work experience in administrating Office 365 & Exchange On-Premises Servers with versions 2016 and 2019. Good understanding of Azure AD Connect Server and management. Understanding in Office 365 Authentications, SSO, MFA etc. Good Understanding in Exchange Online Protection (EOP). Good understanding of Azure AD and CA Policies etc. Excellent Knowledge on Exchange and Office 365 PowerShell scripts. Exchange Server Administration & Migration (20%) : Install, configure & troubleshoot different roles of Exchange servers. Mailbox Database and Public Folder Database Creation, Deletion, handling permission issues and managing replication. Managing DAG and CAS Arrays, troubleshooting failover issues, addition, and deletion of Exchange servers from clusters. Day to day administration, support, maintenance and monitoring of the MS Exchange 2010/2013/2016 and 2019 infrastructure. Microsoft Teams Management (15%) : Good understanding and work experience in terms of managing and supporting Microsoft Teams. Administer and manage the Microsoft Teams Admin Portal. Configure and maintain Teams policies, settings, and permissions. Monitor Teams usage and performance and troubleshoot issues. Office 365 Administration (20%) : Very Good Work experience in administrating Office 365 & Exchange On-Premises Servers with versions 2016 and 2019. Good understanding of Azure AD Connect Server and management. Understanding in Office 365 Authentications, SSO, MFA etc. Good Understanding in Exchange Online Protection (EOP). Good understanding of Azure AD and CA Policies etc. Excellent Knowledge on Exchange and Office 365 PowerShell scripts. Exchange Server Administration & Migration (20%) : Install, configure & troubleshoot different roles of Exchange servers. Mailbox Database and Public Folder Database Creation, Deletion, handling permission issues and managing replication. Managing DAG and CAS Arrays, troubleshooting failover issues, addition, and deletion of Exchange servers from clusters. Day to day administration, support, maintenance and monitoring of the MS Exchange 2010/2013/2016 and 2019 infrastructure. Microsoft Teams Management (15%) : Good understanding and work experience in terms of managing and supporting Microsoft Teams. Administer and manage the Microsoft Teams Admin Portal. Configure and maintain Teams policies, settings, and permissions. Monitor Teams usage and performance and troubleshoot issues. Deliver /div> Office 365 Administration (20%) : Very Good Work experience in administrating Office 365 & Exchange On-Premises Servers with versions 2016 and 2019. Good understanding of Azure AD Connect Server and management. Understanding in Office 365 Authentications, SSO, MFA etc. Good Understanding in Exchange Online Protection (EOP). Good understanding of Azure AD and CA Policies etc. Excellent Knowledge on Exchange and Office 365 PowerShell scripts. Exchange Server Administration & Migration (20%) : Install, configure & troubleshoot different roles of Exchange servers. Mailbox Database and Public Folder Database Creation, Deletion, handling permission issues and managing replication. Managing DAG and CAS Arrays, troubleshooting failover issues, addition, and deletion of Exchange servers from clusters. Day to day administration, support, maintenance and monitoring of the MS Exchange 2010/2013/2016 and 2019 infrastructure. Microsoft Teams Management (15%) : Good understanding and work experience in terms of managing and supporting Microsoft Teams. Administer and manage the Microsoft Teams Admin Portal. Configure and maintain Teams policies, settings, and permissions. Monitor Teams usage and performance and troubleshoot issues.

About the Role: Grade Level (for internal use): 09 S&P Global Mobility The Role: Software Engineer(Java Fullstack) The Team: Our team is dedicated to supporting the Polk Automotive Solutions (PAS) Portfolio, ensuring the delivery of innovative solutions to meet the evolving needs of the automotive industry. We value inclusivity, collaboration, and excellence, fostering a dynamic environment where each member can contribute to impactful projects. With a focus on leveraging cutting-edge technologies, our team is committed to driving success and delivering high-quality applications that enhance the PAS Portfolio. Whats in it for you: The Software Engineer II will be responsible for application development and maintenance, focusing on utilizing core Java and AWS technologies. The candidate should possess a comprehensive understanding of the Software Development Life Cycle (SDLC) and Agile development methodologies to ensure effective project execution and delivery. This role emphasizes full-stack development, ensuring seamless integration across all layers of the application. Responsibilities and Impact: - Develop, test, and maintain high-quality full-stack applications using core Java for backend and modern web technologies for frontend. - Utilize AWS services for deploying and managing scalable applications. - Collaborate with cross-functional teams to design and implement new features and enhancements across the entire stack. - Participate in code reviews and provide constructive feedback to ensure best practices are followed across front-end and back-end development. - Troubleshoot and resolve issues in existing applications to improve performance and reliability across all layers of the stack. - Contribute to the continuous improvement of SDLC processes and Agile methodologies, ensuring they are effectively applied to full-stack development. What Were Looking For: Basic Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. - Proven experience in full-stack development, with strong expertise in core Java and AWS. - Solid understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. - Comprehensive knowledge of the Software Development Life Cycle (SDLC) and Agile development methodologies. Key Soft Skills: - Excellent problem-solving skills and attention to detail. - Strong communication skills, both written and verbal, to collaborate effectively with team members and stakeholders. - Ability to work independently and as part of a team in a fast-paced environment. - Adaptability and willingness to learn new technologies and methodologies. Additional Preferred Qualifications: - Experience with DevOps practices and tools such as Jenkins, Docker, or Kubernetes for automated deployment and containerization. - Familiarity with microservices architecture and RESTful API design. - Prior experience working in a cloud-native environment, leveraging AWS services for application development. - Strong understanding of database technologies, both SQL and NoSQL, and experience with database design and optimization. Statement: S&P Global delivers essential intelligence that powers decision making. We provide the worlds leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, youll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand todays market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Overview As a member of the Fingerprint SW team, the developer shall design, modify, and implement Fingerprint SW in Middleware Layer for Qualcomm Fingerprint Solution SW design and development on embedded platforms SW Stack development in Middleware layer. Debug and resolve issues in SW reported by internal test teams as well as by customers.Minimum Qualifications 3 to 5 years of experience with embedded systems Must be proficient in C and Database Concepts. Understanding of Linux User and Kernel space development. Good analytical and problem solving skills Strong understanding of basic real-time/embedded programming concepts & real time operating systems concepts Preferred Qualifications Good understanding of microprocessor, multiprocessor architecture. Good to have exposure with ARM based processor and Trustzone awareness. Good to have some basic understanding of Machine Learning and Deep learning techniques. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

We are hiring a Java-Spring Boot Developer to work on enterprise-grade backend services. Key Responsibilities:Develop RESTful services using Spring Boot. Integrate with databases, queues, and APIs. Optimize code for scalability and performance. Collaborate with cross-functional teams. Required Qualifications:2+ years of experience with Java and Spring Boot. Solid understanding of OOP, JPA, and REST APIs. Familiarity with microservices and containerization.

We are hiring a Java-Spring Boot Developer to work on enterprise-grade backend services. Key Responsibilities:Develop RESTful services using Spring Boot. Integrate with databases, queues, and APIs. Optimize code for scalability and performance. Collaborate with cross-functional teams. Required Qualifications:2+ years of experience with Java and Spring Boot. Solid understanding of OOP, JPA, and REST APIs. Familiarity with microservices and containerization.

We are hiring a Java-Spring Boot Developer to work on enterprise-grade backend services. Key Responsibilities:Develop RESTful services using Spring Boot. Integrate with databases, queues, and APIs. Optimize code for scalability and performance. Collaborate with cross-functional teams. Required Qualifications:2+ years of experience with Java and Spring Boot. Solid understanding of OOP, JPA, and REST APIs. Familiarity with microservices and containerization.

We are hiring a Java-Spring Boot Developer to work on enterprise-grade backend services. Key Responsibilities:Develop RESTful services using Spring Boot. Integrate with databases, queues, and APIs. Optimize code for scalability and performance. Collaborate with cross-functional teams. Required Qualifications:2+ years of experience with Java and Spring Boot. Solid understanding of OOP, JPA, and REST APIs. Familiarity with microservices and containerization.

The opportunity: As a HMI / DCS Developer, you will be responsible for the development of Database creation, Gateway server configuration, technical co-ordination to ensure the SCADA system works in compliance with customer requirements and Hitachi standards. How youll make an impact: You will play a crucial role in enhancing HVDC HMI systems and developing DCS/HMI applications using ABB 800xA software. This includes designing and developing a secure network architecture for DCS / HMI systems for AC Substation and HVDC projects, integrating Aux Automation systems, and coordinating technically with sub-suppliers and stakeholders across different locations. Your hands-on experience with IT infrastructure components and proficiency in creating templates, faceplates, and popups in ABB 800xA will be instrumental in your role. You will collaborate with departments and stakeholders to define work division, participate in FAT/SAT activities, provide on-site technical support during project commissioning, and enhance the security of DCS / SCADA / HMI network connections. Additionally, you will lead automation projects, mentor team members, ensure compliance with regulations, and uphold Hitachi Energy's core values of safety and integrity. Your background: You should hold a Bachelors or Masters degree in ECE / EEE / E&I with at least 14+ years of project work experience in Substation automation. A minimum of 13 years of experience in substation automation projects in India or other countries is required. You should thrive in a dynamic environment, excel in collaboration, and possess knowledge in ABB DCA 800xA, Hitachi Energy RTU, and MS Office tools. Strong communication and interpersonal skills, attention to detail, and a commitment to delivering high-quality digital solutions are essential for this role. Qualified individuals with disabilities may request reasonable accommodations for accessibility assistance during the job application process by completing a general inquiry form on the Hitachi Energy website. Please include specific details about your required accommodation to support you during the application process.,

The opportunity: As an HMI / SCADA Developer, your role will involve tasks such as database creation, gateway server configuration, technical coordination, and ensuring that the SCADA system aligns with customer requirements as well as Hitachi standards. How you'll make an impact: Your primary focus will be on continuously improving HVDCs Overall HMI. You will be responsible for developing and maintaining SCADA/HMI applications using MicroSCADA and Zenon SCADA software platforms. Designing and developing a secured network architecture for SCADA / HMI systems for AC Substation and HVDC projects. Coordinating technically with sub suppliers and various stakeholders in different locations. Utilizing IT infrastructure hands-on experience with Routers, Firewalls, Switches, Servers, and workstations, along with basic networking skills. Creating and customizing templates, faceplates, and popups in MicroSCADA and Zenon SCADA to meet project-specific HMI requirements, and collaborating with other departments / stakeholders to prepare the Division of works. Participating in FAT / SAT activities with sub suppliers and providing technical support on-site during the commissioning phase of the project. Evaluating and enhancing the security of connections to the DCS / SCADA / HMI network, and leading automation projects while guiding and mentoring the team based on business requirements. Ensuring compliance with external and internal regulations, procedures, and guidelines, in alignment with Hitachi Energy core values of safety and integrity. Your background: Hold a Bachelors or Masters degree in Electronics and Communication Engineering (ECE), Electrical and Electronics Engineering (EEE), or Electronics and Instrumentation (E&I). Possess a minimum of 13+ years of working experience in substation automation projects across India and international locations. Proficient in Micro SCADA, Zenon (Copa Data), MS Visio, and MS Office. Experience in collaborating with multiple stakeholders to finalize solutions. Preferably hold SCADA / HMI certifications, Networking certifications, CCNA, CCNP, Cyber Security. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.,