1102 Data Integration Jobs - Page 8

About the Role In this opportunity as Varicent Developer you will: Support the Varicent application and its dependent systems. Provide detailed root cause analysis on system defects/bugs and suggest potential solutions along with change and risk assessments. Develop, maintain, and optimize Varicent calculations, reports, and other tools within the application. Perform data analysis to identify trends, patterns, and insights as directed. Assist with data load processes. Create and maintain technical documentation for logic flows, user interfaces, data stores, workflows, etc. Document key decisions made, dependencies, potential issues, and critical tasks related to assigned projects. Troubleshoot and resolve application performance issues. Implement security measures to protect sensitive data as needed. Collaborate with data architects, delivery, data project teams & business during the design and implementation. Effectively document and communicate proposed designs in non-technical terms to key stakeholders. About You Youre a fit for the role of Varicent Developer if your background includes: 6+ years of experience with compensation management tools with 4+ years of experience with the Varicent sales compensation software/application Experience building and maintaining configuration tables based on the business changing needs. Extensive experience building and maintaining the calculations within the Varicent model. Experience with data mapping, workflow construction, report design and build, and ETL (Extract Transform Load) processes for data integration tasks. Database query design, data handling and data integration skills (SQL, Excel) Programming Language proficiency (JavaScript, Python, Groovy) Use industry experience to identify the best solutions for system improvements. Configure Varicent products based on customer requirements. Consult customers on proven / recommended approaches to satisfy their requests. Excellent analytical and logical thinking ability to deliver optimal solutions. Exceptional communication skills to provide updates for the customer and key stakeholders. Proven analytical and critical thinking skills. Strong organizational skills with the ability to manage multiple objectives with competing demands for resources, ability to adapt to change, and attention to detail. Capable of exercising independent judgment and recognize the impact to the business and its needs. Proficiency in working in a fast-paced, complex, dynamic, multi-cultural and diverse business environment. Able to interact with various levels within the organization. Ability to apply subject matter expertise to identify and resolve problems quickly. Creative, innovative, and able to successfully seek and seize opportunities as they develop. Flexibility with the ability to work additional hours and in a variety of tasks as needed. #LI-HG1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role: Grade Level (for internal use): 09 The Role: Full Stack Kotlin/Java Developer As the Full Stack Kotlin/Java Developer, your mission is to design, create and maintain our backend application for customer and data onboarding for our strategic distribution platform. You possess a profound knowledge of core Java and have a preference for creating frameworks rather than utilizing existing ones. The Team The data delivery development team consists of passionate individuals who thrive on innovation and collaboration. Were responsible for distributing data to clients. Our distribution platform is widely used within the company and serves many external clients. We value creativity, adaptability, and a commitment to excellence. Our teams unique blend of technical expertise and business acumen sets us apart. The Impact Delivering data to clients in a timely manner is key to the success of the company. As a software engineer, you will focus on reliability, performance and scalability. This role offers a unique opportunity to work on a high-impact project. The successful customer and data onboarding tools will be closely watched by stakeholders, executives, and clients. Whats in it for you Professional Growth Youll have the opportunity to join a high-performing team, growing your technical skills, and contribute to strategic decisions. Global Exposure Collaborate with cross-functional teams across different geographies, gaining exposure to diverse perspectives and markets. Innovation Shape the future of data integration by working on cutting-edge technologies and solving complex challenges. Responsibilities You will work as part of a development team that designs, builds and maintains high performant and maintainable code. It is a unique and challenging role that calls for a strong passion for quality and technology, while providing an immense opportunity to design and develop wide reaching code. The role includes work on architecture design, business logic, requirements gathering, data modelling and quality assurance. If you rather build frameworks instead of using them, this is the role for you! What we're looking for We are looking for creative people with a passion for programming and an eye for detail. A recognized academic background in Computer Science Solid experience with Java 21-23 and/or Kotlin Experience with building multi-threading and concurrent systems Solid understanding of concurrency and distributed architectures Experience with test-driven development If you prefer using frameworks instead of building them, this role is not for you. 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. ----------------------------------------------------------- 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Middle Office - Analyst - Business Systems - LocationPune Experience3 - 6 years DesignationAssociate Industry/DomainETL/Mapping Tool, VBA, SQL, Capital Market knowledge, Bank Debts, Solvas Apex Group Ltd has an immediate requirement for Middle Office Tech Specialist. As an ETL Techno-Functional Support Specialist at Solvas, you will be the bridge between technical ETL processes and end-users, ensuring the effective functioning and support of data integration solutions. Your role involves addressing user queries, providing technical support for ETL-related issues, and collaborating with both technical and non-technical teams to ensure a seamless data integration environment. You will contribute to the development, maintenance, and enhancement of ETL processes for solvas application, ensuring they align with business requirements. Work Environment: Highly motivated, collaborative, and results driven. Growing business within a dynamic and evolving industry. Entrepreneurial approach to everything we do. Continual focus on process improvement and automation. Functional/ Business Expertise Required Serve as the primary point of contact for end-users seeking technical assistance related to Solvas applications. Serve as a point of contact for end-users, addressing queries related to ETL processes, data transformations, and data loads. Provide clear and concise explanations to non-technical users regarding ETL functionalities and troubleshoot issues. Integrate Client Trade files into the Conversant systemdesign, develop, implement, and test technical solutions based on client and business requirements. Diagnose and troubleshoot ETL-related issues reported by end-users or identified through monitoring systems. Work closely with business analysts and end-users to understand and document ETL requirements. Monitor ETL jobs and processes to ensure optimal performance and identify potential issues. Create user documentation and guides to facilitate self-service issue resolution. Hands on experience in working on any ETL tools is mandatory . Strong command of SQL, VBA and Advance Excel. Good understanding of Solvas or any other loan operation system . Mandatory to have good knowledge of Solvas Bank Debt working . Intermediate knowledge of financial instruments, both listed and unlisted or OTCs , which includes and not limited to derivatives, illiquid stocks, private equity, bankdebts, and swaps. Understanding of the Loan operation industry is necessary. Should have knowledge of market data provider applications (Bloomberg, Refinitiv etc.). Proficiency in any loan operation system, preferably solvas. An ability to work under pressure with changing priorities. Strong analytical and problem -solving skills. Experience and Knowledge: 3+ years of related experience in support/ technical in any loan operation system & accounting system (Solvas/ Geneva). Connect with operation to understand & resolve their issues. Experience working data vendors (Bloomberg/ Refinitiv/ Markit) Able to handle reporting issue/ New requirement raised by operations. Strong analytical, problem solving, and troubleshooting abilities. Strong Excel and Excel functions knowledge for business support. Create and maintain Business documentation, including user manuals and guides. Worked on system upgrade/ migration/ Integration. Other Skills: Good team player, ability to work on a local, regional, and global basis. Good communication & management skills Good understanding of Financial Services/ Capital Markets/ Fund Administration DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Role Summary Join Quantiums India leadership team in shaping the future of data-drive business operations. The Data Systems Lead (India) is pivotal in executing Quantium's internal data and systems transformation strategy, working as part of a globally distributed team to ensure our corporate data ecosystem supports business growth and operational excellence. This role will lead and develop the India-based analytics operations team, working closely with the Australia-based leadership team to deliver high-quality data integration, system maintenance, and analytical solutions across Quantium's internal systems ecosystem. The successful candidate will combine strong technical analytics engineering capabilities with stakeholder management skills, enabling them to work autonomously with business stakeholders when requirements need clarification whilst maintaining close collaboration with the Australian leadership team. This role is critical to Quantium's India growth strategy, building local capability whilst maintaining global standards and connectivity. The position is designed to support both professional excellence and personal fulfilment, with flexible working arrangements and a commitment to inclusive leadership development. Key Responsibilities Team Leadership & Talent Development Guide and develop a team of 3-5 analysts focused on internal data systems and operations Recruit and nuture local India talent, including analysts similar to current team members Foster a culture of continuous improvement and operational excellence within the India operations team Partner closely with Australian squad leaders on resource planning and capability development Data Systems & Analytics Engineering Execute and enhance data integration strategies across Quantium's internal systems ecosystem (Kantata, HubSpot, Anaplan, HRMS, Finance systems) Orchestrate ETL processes, data quality monitoring, and system maintenance operations Ensure data consistency and integrity across the corporate data warehouse Drive automation of manual processes and implement operational efficiencies Stakeholder Engagement Collaborate with Australian leadership team to understand and translate business requirements Engage directly with internal business stakeholders across verticals when requirements need clarification Participate actively in regular forums with Finance, People & Culture, and vertical teams to gather feedback and requirements Support change management initiatives related to systems transformation Operational Excellence Coordinate day-to-day operations of internal data systems and reporting processes Monitor and resolve data quality issues, implementing systematic approaches to problem-solving Support month-end financial processes, management reporting, and compliance requirements Maintain adherence to Quantium's data governance and security standards Key activities Strategic Execution Execute business plans for foundational internal data assets including corporate data management, system integrations, and operational reporting Support the development of the internal data and systems roadmap based on business requirements Coordinate with global teams on system enhancements and new implementations Team Management Recruit and develop local analytics talent with strong ETL and data integration capabilities Create development plans and objectives aligned with operational excellence and business support objectives Provide coaching and mentorship to develop team members' technical and stakeholder management capabilities Build inclusive teams that leverage diverse perspectives and experiences Manage resource allocation across multiple internal projects and business-as-usual operations Technical Delivery Oversee technical designs for data integration solutions and system enhancements Ensure quality standards are maintained across all data processes and deliverables Champion best practices for analytics engineering and data operations Support troubleshooting and resolution of complex data and system issues Qualifications Essential Requirements Analytics Engineering Foundation : Strong experience in ETL development, data integration, and analytics engineering practices Enterprise Systems Knowledge : Previous experience working with ERP systems, enterprise applications, or corporate data ecosystems Team Leadership and Development : Proven experience managing and developing analytics teams (3+ people) Data Integration Expertise : Strong understanding of data structures, data transformation, and system integration patterns Stakeholder Partnership : Demonstrated ability to work with business stakeholders and translate requirements into technical solutions Cross-cultural Communication : Comfort working across time zones and cultural contexts Highly Desirable Experience with enterprise applications such as Kantata (or similar PSA tools), HubSpot, Anaplan, or HRMS systems Background in finance or HR data management and reporting Experience in professional services or consulting environments Previous experience working in globally distributed teams Understanding of data governance and compliance requirements Experience mentoring and developing junior team members Skills Required Data Engineering : Proficiency in SQL, data transformation tools, and ETL processes Analytics Tools : Experience with data analysis and reporting tools System Integration : Understanding of API integrations and data warehouse concepts Problem Solving : Strong systematic approach to troubleshooting data and system issues Data Quality : Experience implementing data quality monitoring and improvement processes

About the role We are seeking an experienced Senior Data Developer to join our data engineering team responsible for building and maintaining complex data solutions using Azure Data Factory (ADF), Azure Databricks , and Cosmos DB . The role involves designing and developing scalable data pipelines, implementing data transformations, and ensuring high data quality and performance. The Senior Data Developer will work closely with data architects, testers, and analysts to deliver robust data solutions that support strategic business initiatives. The ideal candidate should possess deep expertise in big data technologies, data integration, and cloud-native data engineering solutions on Microsoft Azure. This role also involves coaching junior developers, conducting code reviews, and driving strategic improvements in data architecture and design patterns. Key Responsibilities Data Solution Design and Development : Design and develop scalable and high-performance data pipelines using Azure Data Factory (ADF). Implement data transformations and processing using Azure Databricks. Develop and maintain NoSQL data models and queries in Cosmos DB. Optimize data pipelines for performance, scalability, and cost efficiency. Data Integration and Architecture: Integrate structured and unstructured data from diverse data sources. Collaborate with data architects to design end-to-end data flows and system integrations. Implement data security, governance, and compliance standards. Performance Tuning and Optimization: Monitor and tune data pipelines and processing jobs for performance and cost efficiency. Optimize data storage and retrieval strategies for Azure SQL and Cosmos DB. Collaboration and Mentoring: Collaborate with cross-functional teams including data testers, architects, and business analysts. Conduct code reviews and provide constructive feedback to improve code quality. Mentor junior developers, fostering best practices in data engineering and cloud development. Primary Skills Data EngineeringAzure Data Factory (ADF), Azure Databricks. Cloud PlatformMicrosoft Azure (Data Lake Storage, Cosmos DB). Data ModelingNoSQL data modeling, Data warehousing concepts. Performance OptimizationData pipeline performance tuning and cost optimization. Programming Languages Python, SQL, PySpark Secondary Skills DevOps and CI/CDAzure DevOps, CI/CD pipeline design and automation. Security and ComplianceImplementing data security and governance standards. Agile MethodologiesExperience in Agile/Scrum environments. Leadership and MentoringStrong communication and coaching skills for team collaboration. Soft Skills Strong problem-solving abilities and attention to detail. Excellent communication skills, both verbal and written. Effective time management and organizational capabilities. Ability to work independently and within a collaborative team environment. Strong interpersonal skills to engage with cross-functional teams. Educational Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Relevant certifications in Azure and Data Engineering, such as: Microsoft CertifiedAzure Data Engineer Associate Microsoft CertifiedAzure Solutions Architect Expert Databricks Certified Data Engineer Associate or Professional About the Team As a Senior Data Developer , you will be working with a dynamic, cross-functional team that includes developers, product managers, and other quality engineers. You will be a key player in the quality assurance process, helping shape testing strategies and ensuring the delivery of high-quality web applications.

Hello Candidates We are Hiring!! Job Position - AbInitio Administrator Experience - 4+ years Location - Mumbai, Pune, Chennai, Bangalore Work Mode - Hybrid (3 days WFO ) Job Description: Strong knowledge of Ab Initio tools, including Co?Op, EME, GDE, and other components. • Understanding of data warehousing concepts, ETL processes, and data integration best practices • Manage all Ab Initio environments, including security, cluster setup, performance tuning, and continuous monitoring. • Perform cluster maintenance activities such as patching, Co?Op upgrades, EME backup and recovery, user provisioning, and automation of routine tasks. • Troubleshoot failed jobs and configure/maintain security policies effectively. • Knowledge of SQL for querying and manipulating data. NOTE - Candidates can share their resume - shrutia.talentsketchers@gmail.com

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. Job Description - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Candidate must have hands on experience in following- Informatica IDMC Informatica PowerCenter Informatica CDQ Informatica Data Integration Unix scripting Sql Mandatory Skills- Informatica IDMC Informatica PowerCenter

Dear Candidate, Greetings!! Hiring For SSIS Developer - Gurgaon(wfo) Responsibilities 1 Must have exp into SSIS packages for ETL processes 2 End to end data migration 3 Must have exp in Oracle Cloud Share resume on abhishek@xinoe.com Regards,

Implementing and validating predictive models as well as creating and maintaining 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. Working 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 behaviors. Building teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience Experience in Front-End Development specializing in React.js and TypeScript , Javascript, MySql 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. Proficient understanding of code version tools such as GitHub, Gitlab, Bitbucket 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

As Data Engineer 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 seach 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 behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Your primary responsibilities include: Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools. Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT. Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python

As an 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 behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, and unstructured data. 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

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio.. Data Modeling and Analysis:. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.. Analyze and model data to ensure optimal ETL design and performance.. Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions.. Implement best practices for reusable Ab Initio component Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization.. Conduct performance tuning and troubleshooting as needed.. Collaboration. Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.. Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio. Data Modelling and Analysis. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes. Analyse and model data to ensure optimal ETL design and performance. Ab Initio Components. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration. . Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes. Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll 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, youll 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 Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

Experience- 6 to 10 years Location- Pune Key Skill: Appian developer with RPA exposure Appian Skills Process Modeling and Workflow Automation: Candidates must showcase their understanding of Appians Process Modeler and demonstrate the ability to optimize execution paths and manage exceptions. Data Integration and Management Expertise: This skill ensures that candidates can create secure API integrations and manage external data sources, crucial for maintaining data integrity and connectivity. Scripting and Expression Rule Development: Evaluates the candidates capability to write expressions and scripts that extend application functionality. Security and Access Control Management: Assess the ability to configure security roles and access permissions, ensuring that applications comply with organizational policies and protect sensitive data. Appian Deployment and Performance Optimization: Ensures that applications are deployed efficiently and perform optimally. These skills are essential for designing, implementing, and managing scalable and efficient applications using Appian's low-code platform. Skills: ipa,rpa,appian,scripting and expression rule development,process modeling and workflow automation,rpa exposure,appian sail,appian development,security and access control management,appian deployment and performance optimization,data integration and management

Looking for challenging role If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you About the Team The global engineering team is responsible for the development of reference auxiliaries and adaptation to customer requirements for large gas & steam turbines and generator packages. The Tools and Data Management (TDM) department is represented in Germany, India and USA and is administrating and further developing the engineering tool landscape including its data. To improve efficiency and daily work experience of the engineering teams, we focus onEasy user interfaces, seamless flow of data between tools, excellent tool performance, simplification of the tool landscape and the application of effective techniques to evaluate, interpret and visualize data. A Snapshot of Your Day In the morning, you will continue reviewing ideas from the GCO team to identify business processes where generative language AI solutions can add value. You will engage with idea providers to understand their motivations and details better. After evaluating the input, you will refine your shortlist of potential projects. Before lunch, you will join the Siemens Energy (SE) AI community meeting to stay updated on the latest developments in the field. After lunch, you will present AI techniques, opportunities, and limitations to the Bid Management team at GCO. You will highlight promising ideas from your shortlist and initiate discussions about which ideas should be prioritized for implementation. In the afternoon, you'll collaborate with colleagues to discuss new ideas and the necessary architecture for data sources, APIs, and data lakes. You will end your day by summarizing progress and planning the next steps. Then, it’s time and you call it a day. Your new role – challenging and future- oriented Drive the development and implementation of advanced data analytics solutions with focus on natural language processing NLP and ML techniques Support the implementation of data driven project execution methodologies across the engineering, bid management, project management and procurement disciplines Coordinate data integration and analysis requirements as well as solutions with IT Define required data integration and analysis capabilities for the organization - train the team Join the expert network across different business areas, including IT and stay up-to-date on latest data science and ML techniques Ensure effective communication with project stakeholders. We don’t need superheroes, just super minds Master’s degree in computer science, data science, applied mathematics, statistics or comparable engineering/IT discipline Minimum 2 years of experience in developing AI applications and integration of AI with existing applications Enthusiastic about unleashing the full potential of data, data analytics and AI/ML solutions in operative business processes Advanced programming skills with Python and other relevant programming languages (e.g., Java, JavaScript) Proficiency with database management systems (e.g., SQL and NoSQL) Experience with cloud platforms (e.g., AWS, Azure and GCP). Excellent team player in global interdisciplinary teams Experience working within Agile or Scrum frameworks Open mindset to new technologies and enthusiastic to continuously learn Analytical mindset and a systematic style of working Fluent English is a must - excellent communication and presentation skills We’ve got quite a lot to offer. How about you This role is based at Site (Gurgaon). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. 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 in data engineering.- Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. 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 in data engineering.- Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data is accessible, reliable, and actionable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture and data models.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality frameworks and data governance practices.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data pipeline development and management.- Strong understanding of ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud data storage solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education