4492 Informatica Jobs - Page 29

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. 10 Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 1. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) o SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Qualifications: Education: o Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

The job holder is responsible for supporting the design, development and implementation of the Data Governance program, and specifically those relating to data quality, as part of the Data Governance Office. They are accountable for maintaining direction and ensuring alignment with business objectives with regards to how data is managed across the organisation. The job holder is also a key member of the broader data management group across the organization and is expected to play an important role in influencing and providing direction to the wider data management community. Supports the DQ Lead in the development and oversight of data governance framework, standards, practices, policies and processes. Supports the development of the Data Governance Office as a center of excellence committed to ingraining a data-driven decision making culture across the organization, teaming with external partners, and offering data services across business and support groups. Supports in the monitoring and analysis of latest strategic, technological, and regulatory trends within the organisation and on a global scale. Promotes good data quality practices and the management of data as a strategic asset Supports the production of information on performance and quality standards for data within the organization. Responsible for the development of DQ measurement/reporting/control capabilities. Responsible for the development and maintenance of data quality rules in Informatica Data Quality About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Design and execute test plans for ETL processes, ensuring data accuracy, completeness, and integrity. Develop automated test scripts using Python or R for data validation and reconciliation. Perform source-to-target data verification, transformation logic testing, and regression testing. Collaborate with data engineers and analysts to understand business requirements and data flows. Identify data anomalies and work with development teams to resolve issues. Maintain test documentation, including test cases, test results, and defect logs. Participate in performance testing and optimization of data pipelines. Required Skills & Qualifications: Strong experience in ETL testing across various data sources and targets. Proficiency in Python or R for scripting and automation. Solid understanding of SQL and relational databases. Familiarity with data warehousing concepts and tools (e.g., Power BI, QlikView, Informatica, Talend, SSIS). Experience with test management tools (e.g., JIRA, TestRail). Knowledge of data profiling, data quality frameworks, and validation techniques. Excellent analytical and communication skills. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Role Description Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development maintenance and performance using design patterns and reusing proven solutions.rnInterpret requirements to create optimal architecture and design developing solutions in accordance with specifications. Document and communicate milestones/stages for end-to-end delivery. Code adhering to best coding standards debug and test solutions to deliver best-in-class quality. Perform performance tuning of code and align it with the appropriate infrastructure to optimize efficiency. Validate results with user representatives integrating the overall solution seamlessly. Develop and manage data storage solutions including relational databases NoSQL databases and data lakes. Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools. Influence and improve customer satisfaction through effective data solutions. Measures Of Outcomes Adherence to engineering processes and standards Adherence to schedule / timelines Adhere to SLAs where applicable # of defects post delivery # of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical/domain certifications Completion of all mandatory training requirements Efficiency improvements in data pipelines (e.g. reduced resource consumption faster run times). Average time to detect respond to and resolve pipeline failures or data issues. Number of data security incidents or compliance breaches. Outputs Expected Code Development: Develop data processing code independently ensuring it meets performance and scalability requirements. Define coding standards templates and checklists. Review code for team members and peers. Documentation Create and review templates checklists guidelines and standards for design processes and development. Create and review deliverable documents including design documents architecture documents infrastructure costing business requirements source-target mappings test cases and results. Configuration Define and govern the configuration management plan. Ensure compliance within the team. Testing Review and create unit test cases scenarios and execution plans. Review the test plan and test strategy developed by the testing team. Provide clarifications and support to the testing team as needed. Domain Relevance Advise data engineers on the design and development of features and components demonstrating a deeper understanding of business needs. Learn about customer domains to identify opportunities for value addition. Complete relevant domain certifications to enhance expertise. Project Management Manage the delivery of modules effectively. Defect Management Perform root cause analysis (RCA) and mitigation of defects. Identify defect trends and take proactive measures to improve quality. Estimation Create and provide input for effort and size estimation for projects. Knowledge Management Consume and contribute to project-related documents SharePoint libraries and client universities. Review reusable documents created by the team. Release Management Execute and monitor the release process to ensure smooth transitions. Design Contribution Contribute to the creation of high-level design (HLD) low-level design (LLD) and system architecture for applications business components and data models. Customer Interface Clarify requirements and provide guidance to the development team. Present design options to customers and conduct product demonstrations. Team Management Set FAST goals and provide constructive feedback. Understand team members' aspirations and provide guidance and opportunities for growth. Ensure team engagement in projects and initiatives. Certifications Obtain relevant domain and technology certifications to stay competitive and informed. Skill Examples Proficiency in SQL Python or other programming languages used for data manipulation. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery). Conduct tests on data pipelines and evaluate results against data quality and performance specifications. Experience in performance tuning of data processes. Expertise in designing and optimizing data warehouses for cost efficiency. Ability to apply and optimize data models for efficient storage retrieval and processing of large datasets. Capacity to clearly explain and communicate design and development aspects to customers. Ability to estimate time and resource requirements for developing and debugging features or components. Knowledge Examples Knowledge Examples Knowledge of various ETL services offered by cloud providers including Apache PySpark AWS Glue GCP DataProc/DataFlow Azure ADF and ADLF. Proficiency in SQL for analytics including windowing functions. Understanding of data schemas and models relevant to various business contexts. Familiarity with domain-related data and its implications. Expertise in data warehousing optimization techniques. Knowledge of data security concepts and best practices. Familiarity with design patterns and frameworks in data engineering. Additional Comments UST is seeking a highly skilled and motivated Lead Data Engineer to join our Telecommunications vertical, leading impactful data engineering initiatives for US-based Telco clients. The ideal candidate will have 6–8 years of experience in designing and developing scalable data pipelines using Snowflake, Azure Data Factory, Azure Databricks. Proficiency in Python, PySpark, and advanced SQL is essential, with a strong focus on query optimization, performance tuning, and cost-effective architecture. A solid understanding of data integration, real-time and batch processing, and metadata management is required, along with experience in building robust ETL/ELT workflows. Candidates should demonstrate a strong commitment to data quality, validation, and consistency, with working knowledge of data governance, RBAC, encryption, and compliance frameworks considered a plus. Familiarity with Power BI or similar BI tools is also advantageous, enabling effective data visualization and storytelling. The role demands the ability to work in a dynamic, fast-paced environment, collaborating closely with stakeholders and cross-functional teams while also being capable of working independently. Strong communication skills and the ability to coordinate across multiple teams and stakeholders are critical for success. In addition to technical expertise, the candidate should bring experience in solution design and architecture planning, contributing to scalable and future-ready data platforms. A proactive mindset, eagerness to learn, and adaptability to the rapidly evolving data engineering landscape—including AI integration into data workflows—are highly valued. This is a leadership role that involves mentoring junior engineers, fostering innovation, and driving continuous improvement in data engineering practices. Skills Azure Databricks,Snowflake,python,Data Engineering

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

Job title : Jr. Full Stack Developer – Integration and Power BI Our Team To ease and speed our Quality Assurance process, SANOFI is deploying a new QMS (called QualiPSO) based on Veeva Quality Suite. This QualiPSO product is highly integrated into our SANOFI systems landscape. We are looking for a Jr. Full Stack Developer – Integration and Power BI to join our team. You will be responsible for developing and maintaining our integration landscape Main Responsibilities Develop and maintain Interfaces using IICS, SQL, Web Services. Collaborate with TL implement software solutions Suggest new innovative patterns to improve our software development process Write clean, reusable, and scalable code and tests using Jira Xray Troubleshoot and debug software issues Participate in team meetings and agile ceremonies Experience: 4 to 7 years of experience on IICS (Informatica Intelligent Cloud Services) Soft skills: Good communication skills Ability to work in a Global Team environment Knowledge on Agile, Scrum methodology Knowledge on GxP rules / guidelines Knowledge on Jira, Confluence Technical skills: Strong development experience with IICS (Informatica Intelligent Cloud Services) Good experience on SQL Good experience on Webservices, Rest APIs or SOAP Good experience on reporting tools like Power BI, Tableau etc. Experience on Snowflake, AWS Red shift or any data warehouse solution. Secondary Skills: Experience in deployment to higher environments by coordinating with support team Ability to document specifications and other GxP documents Ability to perform peer reviews on code written by other team members Education: Bachelor’s degree in computer science or related field (or equivalent experience) Languages: English Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com! Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request. Thank you in advance for your interest. Only those candidates selected for interviews will be contacted. null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Role:-Data Analyst / Data Engineer Exp:- 7-11 Yrs Location:-Hyderabad Primary Skills:- ETL,Informatica,Python, SQL,BI tools and Investment Domain Please share your resumes to jyothsna.g@technogenindia.com , Job Description:- The Minimum Qualifications Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related field. Experience: 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry. Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis. Advanced SQL skills: proficiency in Python is a strong plus. Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration. Experience working in hybrid onshore-offshore team environments. Deep understanding of data modelling concepts and experience working with relational and dimensional models. Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets. Quantitative Finance: Understanding of financial modelling, risk management, and derivatives. Regulatory Framework: Awareness of relevant financial regulations and compliance requirements. The Ideal Qualifications Technical Skills: Proven track record of Analytical and Problem-Solving skills. A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting and budgeting Strong data analysis skills for extracting insights from financial data Proficiency in data visualization tools and reporting software is also important. Experience integrating financial systems with actuarial, policy administration, and claims platforms. Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements. Experience with General Ledger systems such as SAP and forecasting tools like Anaplan. Soft Skills: Exceptional communication and interpersonal skills. Ability to influence and motivate teams without direct authority. Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. What to Expect as Part of MassMutual and the Team Regular meetings with the Corporate Technology leadership team Focused one-on-one meetings with your manager Access to mentorship opportunities Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

Role: Data Management Lead Work Mode: Remote Hire Type: Contract Experience & Skills: 7–9 years of experience in data management, data governance, or enterprise data architecture. Strong understanding of data governance frameworks and industry best practices. Hands-on experience with data management platforms such as Atlan, Collibra, Informatica, Talend, or similar tools. Proficient in metadata management, data lineage, and master data integration. Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and modern data architectures (e.g., data mesh, data fabric). Strong working knowledge of SQL and Power BI for data querying and reporting. Excellent problem-solving, analytical, and communication skills. Proven ability to lead cross-functional teams and manage stakeholder expectations. Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. Preferred Qualifications: Certifications such as CDMP, DGSP, or equivalent in data governance or data management. Experience in regulated industries (e.g., finance, healthcare, pharmaceuticals). Multilingual communication skills — English required; Japanese or other languages are a plus. If interested, share your resume on sadiya.mankar@leanitcorp.com

Greeting from Infosys BPM Ltd., We are hiring for Test Automation using Java and Selenium, with knowledge on testing process, SQL, ETL DB Testing, ETL Testing Automation skills. Please walk-in for interview on 14th & 15th July 2025 at Chennai location Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please use below link to apply and register your application. Please mention Candidate ID on top of the Resume *** https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-217871 Interview details Interview Date: 14th & 15th July 2025 Interview Time: 10 AM till 1 PM Interview Venue:TP 1/1, Central Avenue Techno Park, SEZ, Mahindra World City, Paranur, TamilNadu Please find below Job Description for your reference: Work from Office*** Rotational Shifts Min 2 years of experience on project is mandate*** Job Description: Test Automation using Java and Selenium, with knowledge on testing process, SQL Java, Selenium automation, SQL, Testing concepts, Agile. Tools: Jira and ALM, Intellij Functional Testing: UI Test Automation using Selenium, Java Financial domain experience Job Description: ETL DB Testing Strong experience in ETL testing, data warehousing, and business intelligence. Strong proficiency in SQL. Experience with ETL tools (e.g., Informatica, Talend, AWS Glue, Azure Data Factory). Solid understanding of Data Warehousing concepts, Database Systems and Quality Assurance. Experience with test planning, test case development, and test execution. Experience writing complex SQL Queries and using SQL tools is a must, exposure to various data analytical functions. Familiarity with defect tracking tools (e.g., Jira). Experience with cloud platforms like AWS, Azure, or GCP is a plus. Experience with Python or other scripting languages for test automation is a plus. Experience with data quality tools is a plus. Experience in testing of large datasets. Experience in agile development is must Understanding of Oracle Database and UNIX/VMC systems is a must Job Description: ETL Testing Automation Strong experience in ETL testing and automation. Strong proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, PostgreSQL, SQL Server). Experience with ETL tools and technologies (e.g., Informatica, Talend, DataStage, Apache Spark). Hands-on experience in developing and maintaining test automation frameworks. Proficiency in at least one programming language (e.g., Python, Java). Experience with test automation tools (e.g., Selenium, PyTest, JUnit). Strong understanding of data warehousing concepts and methodologies. Experience with CI/CD pipelines and version control systems (e.g., Git). Experience with cloud-based data warehouses like Snowflake, Redshift, BigQuery is a plus. Experience with data quality tools is a plus. REGISTRATION PROCESS: The Candidate ID & SHL Test(AMCAT ID) is mandatory to attend the interview. Please follow the below instructions to successfully complete the registration. (Talents without registration & assessment will not be allowed for the Interview). Candidate ID Registration process: STEP 1: Visit: https://career.infosys.com/joblist STEP 2: Click on "Register" and provide the required details and submit. STEP 3: Once submitted, Your Candidate ID(100XXXXXXXX) will be generated. STEP 4: The candidate ID will be shared to the registered Email ID. SHL Test(AMCAT ID) Registration process: This assessment is proctored, and talent gets evaluated on Basic analytics, English Comprehension and writex (email writing). STEP 1: Visit: https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fautologin-talentcentral.shl.com%2F%3Flink%3Dhttps%3A%2F%2Famcatglobal.aspiringminds.com%2F%3Fdata%3DJTdCJTIybG9naW4lMjIlM0ElN0IlMjJsYW5ndWFnZSUyMiUzQSUyMmVuLVVTJTIyJTJDJTIyaXNBdXRvbG9naW4lMjIlM0ExJTJDJTIycGFydG5lcklkJTIyJTNBJTIyNDE4MjQlMjIlMkMlMjJhdXRoa2V5JTIyJTNBJTIyWm1abFpUazFPV1JsTnpJeU1HVTFObU5qWWpRNU5HWTFOVEU1Wm1JeE16TSUzRCUyMiUyQyUyMnVzZXJuYW1lJTIyJTNBJTIydXNlcm5hbWVfc3E5QmgxSWI5NEVmQkkzN2UlMjIlMkMlMjJwYXNzd29yZCUyMiUzQSUyMnBhc3N3b3JkJTIyJTJDJTIycmV0dXJuVXJsJTIyJTNBJTIyJTIyJTdEJTJDJTIycmVnaW9uJTIyJTNBJTIyVVMlMjIlN0Q%3D%26apn%3Dcom.shl.talentcentral%26ibi%3Dcom.shl.talentcentral%26isi%3D1551117793%26efr%3D1&data=05%7C02%7Comar.muqtar%40infosys.com%7Ca7ffe71a4fe4404f3dac08dca01c0bb3%7C63ce7d592f3e42cda8ccbe764cff5eb6%7C0%7C0%7C638561289526257677%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=s28G3ArC9nR5S7J4j%2FV1ZujEnmYCbysbYke41r5svPw%3D&reserved=0 STEP 2: Click on "Start new test" and follow the instructions to complete the assessment. STEP 3: Once completed, please make a note of the AMCAT ID( Access you Amcat id by clicking 3 dots on top right corner of screen). NOTE: During registration, you'll be asked to provide the following information: Personal Details: Name, Email Address, Mobile Number, PAN number. Availability: Acknowledgement of work schedule preferences (Shifts, Work from Office, Rotational Weekends, 24/7 availability, Transport Boundary) and reason for career change. Employment Details: Current notice period and total annual compensation (CTC) in the format 390000 - 4 LPA (example). Candidate Information: 10-digit candidate ID starting with 100XXXXXXX, Gender, Source (e.g., Vendor name, Naukri/LinkedIn/Found it, or Direct), and Location Interview Mode: Walk-in Attempt all questions in the SHL Assessment app. The assessment is proctored, so choose a quiet environment. Use a headset or Bluetooth headphones for clear communication. A passing score is required for further interview rounds. 5 or above toggles, multi face detected, face not detected, or any malpractice will be considered rejected Once you've finished, submit the assessment and make a note of the AMCAT ID (15 Digit) used for the assessment. Documents to Carry: Please have a note of Candidate ID & AMCAT ID along with registered Email ID. Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Please carry 2 set of updated Resume/CV (Hard Copy). Please carry original ID proof for security clearance. Please carry individual headphone/Bluetooth for the interview. Pointers to note: Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Original Government ID card is must for Security Clearance. Regards, Infosys BPM Recruitment team.

Greeting from Infosys BPM Ltd, Exclusive Women's Walkin drive We are hiring for Walkme, ETL Testing + Python Programming, Automation Testing with Java, Selenium, BDD, Cucumber, Test Automation using Java and Selenium, with knowledge on testing process, SQL, ETL DB Testing, ETL Testing Automation skills. Please walk-in for interview on 16th July 2025 at Pune location Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please use below link to apply and register your application. Please mention Candidate ID on top of the Resume *** https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-217822 Interview details Interview Date: 16th July 2025 Interview Time: 10 AM till 1 PM Interview Venue: Pune:: Hinjewadi Phase 1 Infosys BPM Limited, Plot No. 1, Building B1, Ground floor, Hinjewadi Rajiv Gandhi Infotech Park, Hinjewadi Phase 1, Pune, Maharashtra-411057 Please find below Job Description for your reference: Work from Office*** Min 2 years of experience on project is mandate*** Job Description: Walkme Design, develop, and deploy WalkMe solutions to enhance user experience and drive digital adoption. Experience in task-based documentation, training and content strategy Experience working in a multi-disciplined team with geographically distributed co-workers Working knowledge technologies such as CSS and JavaScript Project management and/or Jira experience Experience in developing in-app guidance using tools such as WalkMe, Strong experience in technical writing, instructional video or guided learning experience in a software company Job Description: ETL Testing + Python Programming Experience in Data Migration Testing (ETL Testing), Manual & Automation with Python Programming. Strong on writing complex SQLs for data migration validations. Work experience with Agile Scrum Methodology Functional Testing- UI Test Automation using Selenium, Java Financial domain experience Good to have AWS knowledge Job Description: Automation Testing with Java, Selenium, BDD, Cucumber Hands on exp in Automation. Java, Selenium, BDD , Cucumber expertise is mandatory. Banking Domian Experience is good. Financial domain experience Automation Talent with TOSCA skills, Payment domain skills is preferable. Job Description: Test Automation using Java and Selenium, with knowledge on testing process, SQL Java, Selenium automation, SQL, Testing concepts, Agile. Tools: Jira and ALM, Intellij Functional Testing: UI Test Automation using Selenium, Java Financial domain experience Job Description: ETL DB Testing Strong experience in ETL testing, data warehousing, and business intelligence. Strong proficiency in SQL. Experience with ETL tools (e.g., Informatica, Talend, AWS Glue, Azure Data Factory). Solid understanding of Data Warehousing concepts, Database Systems and Quality Assurance. Experience with test planning, test case development, and test execution. Experience writing complex SQL Queries and using SQL tools is a must, exposure to various data analytical functions. Familiarity with defect tracking tools (e.g., Jira). Experience with cloud platforms like AWS, Azure, or GCP is a plus. Experience with Python or other scripting languages for test automation is a plus. Experience with data quality tools is a plus. Experience in testing of large datasets. Experience in agile development is must Understanding of Oracle Database and UNIX/VMC systems is a must Job Description: ETL Testing Automation Strong experience in ETL testing and automation. Strong proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, PostgreSQL, SQL Server). Experience with ETL tools and technologies (e.g., Informatica, Talend, DataStage, Apache Spark). Hands-on experience in developing and maintaining test automation frameworks. Proficiency in at least one programming language (e.g., Python, Java). Experience with test automation tools (e.g., Selenium, PyTest, JUnit). Strong understanding of data warehousing concepts and methodologies. Experience with CI/CD pipelines and version control systems (e.g., Git). Experience with cloud-based data warehouses like Snowflake, Redshift, BigQuery is a plus. Experience with data quality tools is a plus. REGISTRATION PROCESS: The Candidate ID & SHL Test(AMCAT ID) is mandatory to attend the interview. Please follow the below instructions to successfully complete the registration. (Talents without registration & assessment will not be allowed for the Interview). Candidate ID Registration process: STEP 1: Visit: https://career.infosys.com/joblist STEP 2: Click on "Register" and provide the required details and submit. STEP 3: Once submitted, Your Candidate ID(100XXXXXXXX) will be generated. STEP 4: The candidate ID will be shared to the registered Email ID. SHL Test(AMCAT ID) Registration process: This assessment is proctored, and talent gets evaluated on Basic analytics, English Comprehension and writex (email writing). STEP 1: Visit: https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fautologin-talentcentral.shl.com%2F%3Flink%3Dhttps%3A%2F%2Famcatglobal.aspiringminds.com%2F%3Fdata%3DJTdCJTIybG9naW4lMjIlM0ElN0IlMjJsYW5ndWFnZSUyMiUzQSUyMmVuLVVTJTIyJTJDJTIyaXNBdXRvbG9naW4lMjIlM0ExJTJDJTIycGFydG5lcklkJTIyJTNBJTIyNDE4MjQlMjIlMkMlMjJhdXRoa2V5JTIyJTNBJTIyWm1abFpUazFPV1JsTnpJeU1HVTFObU5qWWpRNU5HWTFOVEU1Wm1JeE16TSUzRCUyMiUyQyUyMnVzZXJuYW1lJTIyJTNBJTIydXNlcm5hbWVfc3E5QmgxSWI5NEVmQkkzN2UlMjIlMkMlMjJwYXNzd29yZCUyMiUzQSUyMnBhc3N3b3JkJTIyJTJDJTIycmV0dXJuVXJsJTIyJTNBJTIyJTIyJTdEJTJDJTIycmVnaW9uJTIyJTNBJTIyVVMlMjIlN0Q%3D%26apn%3Dcom.shl.talentcentral%26ibi%3Dcom.shl.talentcentral%26isi%3D1551117793%26efr%3D1&data=05%7C02%7Comar.muqtar%40infosys.com%7Ca7ffe71a4fe4404f3dac08dca01c0bb3%7C63ce7d592f3e42cda8ccbe764cff5eb6%7C0%7C0%7C638561289526257677%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=s28G3ArC9nR5S7J4j%2FV1ZujEnmYCbysbYke41r5svPw%3D&reserved=0 STEP 2: Click on "Start new test" and follow the instructions to complete the assessment. STEP 3: Once completed, please make a note of the AMCAT ID( Access you Amcat id by clicking 3 dots on top right corner of screen). NOTE: During registration, you'll be asked to provide the following information: Personal Details: Name, Email Address, Mobile Number, PAN number. Availability: Acknowledgement of work schedule preferences (Shifts, Work from Office, Rotational Weekends, 24/7 availability, Transport Boundary) and reason for career change. Employment Details: Current notice period and total annual compensation (CTC) in the format 390000 - 4 LPA (example). Candidate Information: 10-digit candidate ID starting with 100XXXXXXX, Gender, Source (e.g., Vendor name, Naukri/LinkedIn/Found it, or Direct), and Location Interview Mode: Walk-in Attempt all questions in the SHL Assessment app. The assessment is proctored, so choose a quiet environment. Use a headset or Bluetooth headphones for clear communication. A passing score is required for further interview rounds. 5 or above toggles, multi face detected, face not detected, or any malpractice will be considered rejected Once you've finished, submit the assessment and make a note of the AMCAT ID (15 Digit) used for the assessment. Documents to Carry: Please have a note of Candidate ID & AMCAT ID along with registered Email ID. Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Please carry 2 set of updated Resume/CV (Hard Copy). Please carry original ID proof for security clearance. Please carry individual headphone/Bluetooth for the interview. Pointers to note: Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Original Government ID card is must for Security Clearance. Regards, Infosys BPM Recruitment team.

Greeting from Infosys BPM Ltd., We are hiring for Test Automation using Java and Selenium, with knowledge on testing process, SQL, ETL DB Testing, ETL Testing Automation skills. Please walk-in for interview on 16th July 2025 at Chennai location Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please use below link to apply and register your application. Please mention Candidate ID on top of the Resume *** https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-217871 Interview details Interview Date: 16th July 2025 Interview Time: 10 AM till 1 PM Interview Venue:TP 1/1, Central Avenue Techno Park, SEZ, Mahindra World City, Paranur, TamilNadu Please find below Job Description for your reference: Work from Office*** Rotational Shifts Min 2 years of experience on project is mandate*** Job Description: Test Automation using Java and Selenium, with knowledge on testing process, SQL Java, Selenium automation, SQL, Testing concepts, Agile. Tools: Jira and ALM, Intellij Functional Testing: UI Test Automation using Selenium, Java Financial domain experience Job Description: ETL DB Testing Strong experience in ETL testing, data warehousing, and business intelligence. Strong proficiency in SQL. Experience with ETL tools (e.g., Informatica, Talend, AWS Glue, Azure Data Factory). Solid understanding of Data Warehousing concepts, Database Systems and Quality Assurance. Experience with test planning, test case development, and test execution. Experience writing complex SQL Queries and using SQL tools is a must, exposure to various data analytical functions. Familiarity with defect tracking tools (e.g., Jira). Experience with cloud platforms like AWS, Azure, or GCP is a plus. Experience with Python or other scripting languages for test automation is a plus. Experience with data quality tools is a plus. Experience in testing of large datasets. Experience in agile development is must Understanding of Oracle Database and UNIX/VMC systems is a must Job Description: ETL Testing Automation Strong experience in ETL testing and automation. Strong proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, PostgreSQL, SQL Server). Experience with ETL tools and technologies (e.g., Informatica, Talend, DataStage, Apache Spark). Hands-on experience in developing and maintaining test automation frameworks. Proficiency in at least one programming language (e.g., Python, Java). Experience with test automation tools (e.g., Selenium, PyTest, JUnit). Strong understanding of data warehousing concepts and methodologies. Experience with CI/CD pipelines and version control systems (e.g., Git). Experience with cloud-based data warehouses like Snowflake, Redshift, BigQuery is a plus. Experience with data quality tools is a plus. REGISTRATION PROCESS: The Candidate ID & SHL Test(AMCAT ID) is mandatory to attend the interview. Please follow the below instructions to successfully complete the registration. (Talents without registration & assessment will not be allowed for the Interview). Candidate ID Registration process: STEP 1: Visit: https://career.infosys.com/joblist STEP 2: Click on "Register" and provide the required details and submit. STEP 3: Once submitted, Your Candidate ID(100XXXXXXXX) will be generated. STEP 4: The candidate ID will be shared to the registered Email ID. SHL Test(AMCAT ID) Registration process: This assessment is proctored, and talent gets evaluated on Basic analytics, English Comprehension and writex (email writing). STEP 1: Visit: https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fautologin-talentcentral.shl.com%2F%3Flink%3Dhttps%3A%2F%2Famcatglobal.aspiringminds.com%2F%3Fdata%3DJTdCJTIybG9naW4lMjIlM0ElN0IlMjJsYW5ndWFnZSUyMiUzQSUyMmVuLVVTJTIyJTJDJTIyaXNBdXRvbG9naW4lMjIlM0ExJTJDJTIycGFydG5lcklkJTIyJTNBJTIyNDE4MjQlMjIlMkMlMjJhdXRoa2V5JTIyJTNBJTIyWm1abFpUazFPV1JsTnpJeU1HVTFObU5qWWpRNU5HWTFOVEU1Wm1JeE16TSUzRCUyMiUyQyUyMnVzZXJuYW1lJTIyJTNBJTIydXNlcm5hbWVfc3E5QmgxSWI5NEVmQkkzN2UlMjIlMkMlMjJwYXNzd29yZCUyMiUzQSUyMnBhc3N3b3JkJTIyJTJDJTIycmV0dXJuVXJsJTIyJTNBJTIyJTIyJTdEJTJDJTIycmVnaW9uJTIyJTNBJTIyVVMlMjIlN0Q%3D%26apn%3Dcom.shl.talentcentral%26ibi%3Dcom.shl.talentcentral%26isi%3D1551117793%26efr%3D1&data=05%7C02%7Comar.muqtar%40infosys.com%7Ca7ffe71a4fe4404f3dac08dca01c0bb3%7C63ce7d592f3e42cda8ccbe764cff5eb6%7C0%7C0%7C638561289526257677%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=s28G3ArC9nR5S7J4j%2FV1ZujEnmYCbysbYke41r5svPw%3D&reserved=0 STEP 2: Click on "Start new test" and follow the instructions to complete the assessment. STEP 3: Once completed, please make a note of the AMCAT ID( Access you Amcat id by clicking 3 dots on top right corner of screen). NOTE: During registration, you'll be asked to provide the following information: Personal Details: Name, Email Address, Mobile Number, PAN number. Availability: Acknowledgement of work schedule preferences (Shifts, Work from Office, Rotational Weekends, 24/7 availability, Transport Boundary) and reason for career change. Employment Details: Current notice period and total annual compensation (CTC) in the format 390000 - 4 LPA (example). Candidate Information: 10-digit candidate ID starting with 100XXXXXXX, Gender, Source (e.g., Vendor name, Naukri/LinkedIn/Found it, or Direct), and Location Interview Mode: Walk-in Attempt all questions in the SHL Assessment app. The assessment is proctored, so choose a quiet environment. Use a headset or Bluetooth headphones for clear communication. A passing score is required for further interview rounds. 5 or above toggles, multi face detected, face not detected, or any malpractice will be considered rejected Once you've finished, submit the assessment and make a note of the AMCAT ID (15 Digit) used for the assessment. Documents to Carry: Please have a note of Candidate ID & AMCAT ID along with registered Email ID. Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Please carry 2 set of updated Resume/CV (Hard Copy). Please carry original ID proof for security clearance. Please carry individual headphone/Bluetooth for the interview. Pointers to note: Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Original Government ID card is must for Security Clearance. Regards, Infosys BPM Recruitment team.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP technology at PwC, you will specialise in utilising and managing SAP software and solutions within an organisation. You will be responsible for tasks such as installation, configuration, administration, development, and support of SAP products and technologies. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. AES Middleware Integration (Associate) Role Title: Middleware Integration Associate Job Level: Associate Department: Middleware Integration Location: As applicable Reports to: Delivery Manager / Project Lead Role Summary The Associate role in Middleware Integration is responsible for supporting the design, development, and maintenance of integration solutions using SAP PI/PO, Informatica, SLT, and BODS. The Associate will assist in building and monitoring interfaces across SAP and non-SAP systems, under the guidance of senior team members. This role is ideal for individuals with a foundational understanding of integration tools, who are eager to grow their technical expertise in enterprise data integration. Key Responsibilities Support the development of middleware interfaces using SAP PI/PO and Informatica. Assist in ETL operations using BODS and SLT for real-time and batch data movement. Monitor interface performance and raise alerts for anomalies or failures. Document technical specifications, test cases, and support procedures. Participate in unit testing and coordinate with QA for defect resolution. Collaborate with application teams to understand integration requirements. Support incident management and troubleshooting efforts. Work under guidance of senior developers and managers to learn and grow. Qualifications And Skills 1–3 years of experience in middleware or data integration roles. Basic understanding of SAP PI/PO and Informatica. Exposure to ETL tools such as SAP SLT and BODS. Familiarity with XML, IDoc, and REST/SOAP-based services. Strong analytical and problem-solving skills. Good communication and willingness to learn enterprise systems. Organization Fit The ideal candidate is detail-oriented, proactive, and collaborative. They thrive in a dynamic team environment and are passionate about building scalable and reliable integration systems. Adaptability, continuous learning, and effective communication are key traits for success in this role.

1. Solution Design and Architecture - Design end-to-end Salesforce solutions that meet business and technical requirements. Define system architecture and data models ensuring scalability, performance, and security. Select appropriate Salesforce products (Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, etc.) to align with business processes. Design integrations between Salesforce and external systems using REST/SOAP APIs, middleware, and ETL tools. 2. Technical Leadership and Governance - Define and enforce development standards, design patterns, and best practices. Oversee the full Salesforce development lifecycle (SDLC), including design, development, testing, deployment, and maintenance. Conduct code reviews, ensure adherence to security protocols, and promote reusability and maintainability. Provide guidance on Lightning Web Components (LWC), Apex, Visualforce, and Flow design. 3. Data Architecture and Management - Define data models and relationships to ensure optimal performance and scalability. Implement data governance policies to maintain data integrity and compliance. Manage large data volumes and design solutions to prevent performance bottlenecks. Define data migration strategies and ETL processes for seamless data movement. 4. Integration and API Strategy - Design and implement integrations between Salesforce and third-party systems. Leverage Salesforce APIs, Middleware (Mulesoft, Dell Boomi), and ETL tools for secure and reliable data exchange. Define and document API strategies, data mapping, and transformation logic. 5. Security and Compliance - Design and implement robust security models, including sharing rules, profiles, and permission sets. Ensure compliance with industry standards such as GDPR, HIPAA, and SOC2. Monitor security risks and enforce security policies within the Salesforce environment. 6. DevOps, CI/CD, and Automation - Define CI/CD pipelines for automated deployments using tools like Gearset, Copado, and Jenkins. Implement version control using Git, Bitbucket, or Azure DevOps. Enable automated testing to ensure system reliability and consistency. 7. Stakeholder Collaboration and Communication - Collaborate with business stakeholders, product owners, and functional teams to gather requirements and define solutions. Act as a trusted advisor to stakeholders by translating business requirements into technical solutions. Communicate architectural decisions and trade-offs to both technical and non-technical audiences. 8. Salesforce Platform Optimization - Perform regular system audits to identify performance bottlenecks. Optimize platform capabilities through governor limits, bulk processing, and async processes. Leverage Salesforce features like Platform Events, Batch Apex, and Asynchronous Processing to handle complex use cases. 9. Mentoring and Knowledge Sharing - Mentor and guide Salesforce developers, administrators, and junior architects. Conduct knowledge-sharing sessions, workshops, and Salesforce best practice training. Promote a culture of continuous learning and innovation. 10. Monitoring and Performance Management - Implement monitoring and alerting solutions to identify and resolve system issues. Optimize Salesforce applications to ensure peak performance and minimal downtime. Conduct regular health checks and maintain technical documentation. Key Skills and Tools: Core Salesforce Clouds: Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud Development Tools: Apex, Lightning Web Components (LWC), Visualforce, SOQL, SOSL Integration & Middleware: Mulesoft, Dell Boomi, Informatica, REST/SOAP APIs

The job holder is responsible for supporting the design, development and implementation of the Data Governance program, and specifically those relating to data quality, as part of the Data Governance Office. They are accountable for maintaining direction and ensuring alignment with business objectives with regards to how data is managed across the organisation. The job holder is also a key member of the broader data management group across the organization and is expected to play an important role in influencing and providing direction to the wider data management community. Supports the DQ Lead in the development and oversight of data governance framework, standards, practices, policies and processes. Supports the development of the Data Governance Office as a center of excellence committed to ingraining a data-driven decision making culture across the organization, teaming with external partners, and offering data services across business and support groups. Supports in the monitoring and analysis of latest strategic, technological, and regulatory trends within the organisation and on a global scale. Promotes good data quality practices and the management of data as a strategic asset Supports the production of information on performance and quality standards for data within the organization. Responsible for the development of DQ measurement/reporting/control capabilities. Responsible for the development and maintenance of data quality rules in Informatica Data Quality

Genpact is a global professional services and solutions firm that is committed to shaping the future by delivering outcomes that bring lasting value to clients. With a workforce of over 125,000 individuals in more than 30 countries, we are driven by curiosity, agility, and a dedication to excellence. Our purpose is to create a world that works better for people, and we achieve this by serving and transforming leading enterprises worldwide, including the Fortune Global 500. Our deep business and industry knowledge, coupled with expertise in digital operations services, data, technology, and AI, enable us to drive success for our clients. We are currently seeking applications for the role of Manager - Sr. Integration Consultant, Supply Chain Consulting. As an Integration Consultant, you will play a crucial role in integrating and configuring Rapid Response to ensure the success of our clients. Your responsibilities will include meeting with clients to understand their business requirements, collaborating with Solution Architects and Consultants to design solutions and project plans, configuring Rapid Response analytics and data models, mapping and validating client data, resolving complex data and analytic configurations, customizing supply chain solutions, and providing exceptional customer service. To be successful in this role, we are looking for the following qualifications: - Minimum Qualifications: - Bachelor's degree in engineering, computer science, supply chain management, management information systems, or a relevant technical field; or equivalent work experience - Detailed understanding of the software development life cycle and experience with data modeling, query building, and analytics - Preferred Qualifications: - Knowledge of functional supply chain and planning processes, ERP/MRP systems, and capacity planning - Experience with ERP systems such as SAP and Oracle, systems integration, and ETL tools like Informatica and Talend - Familiarity with JDBC, multi-threading, MVC frameworks, Spring, JSP, Servlets, HTML, XML, or JavaScript - Functional knowledge of supply chain or after-sales service operations - Strong interpersonal skills, effective communication abilities, and the capacity to contribute to a team environment - Ability to prioritize tasks, excel in a fast-paced setting, and maintain a high level of client focus - Strong work ethic, attention to detail, and a willingness to learn and grow If you are passionate about supply chain consulting and have the skills and qualifications we are looking for, we invite you to apply for this exciting opportunity. Join us in our mission to create a world that works better for everyone. Job Title: Manager - Sr. Integration Consultant, Supply Chain Consulting Primary Location: India-Hyderabad Education Level: Bachelor's / Graduation / Equivalent Job Posting Date: Jan 29, 2025, 2:29:14 AM Job Category: Full Time,

You will be joining Coders Brain Technology Pvt. Ltd., a global leader in services, digital, and business solutions. At Coders Brain, we partner with our clients to simplify, strengthen, and transform their businesses. We are committed to providing the highest levels of certainty and satisfaction through our comprehensive industry expertise and global network of innovation and delivery centers. As a Data Engineer with a minimum of 5 years of experience, you will be working remotely. Your role will involve collaborating with other developers to define and refine solutions. You will work closely with the business to deliver data and analytics projects. Your responsibilities will include working on data integration with various tools such as Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in AWS Cloud environment. You should have strong real-life experience in Python development, especially in pySpark within AWS Cloud. Designing, developing, testing, deploying, maintaining, and improving data integration pipelines will be a key part of your role. Additionally, you should have experience with Python and common libraries, Perl, Unix Scripts, and analytical skills with databases. Proficiency in source control systems like Git, Bitbucket, and continuous integration tools like Jenkins is required. Experience with continuous deployment (CI/CD), Databricks, Airflow, and Apache Spark will be beneficial. Knowledge of databases such as Oracle, SQL Server, PostgreSQL, Redshift, MySQL, or similar is essential. Exposure to ETL tools including Informatica is preferred. A degree in Computer Science, Computer Engineering, or Electrical Engineering is desired. If you are interested in this opportunity, click on the apply button. Alternatively, you can send your resume to prerna.jain@codersbrain.com or pooja.gupta@codersbrain.com.,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant ETL Testing and Salesforce We are looking for a highly skilled Lead Consultant with expertise in ETL Testing and Salesforce to join our team. In this role, you will lead the design and execution of ETL testing strategies, ensuring the accuracy and integrity of data pipelines, while also managing Salesforce integrations and data validation. You will work closely with business stakeholders and technical teams to ensure high-quality data flow across systems, leveraging both your ETL and Salesforce expertise. Responsibilities Lead the development and execution of ETL testing strategies, focusing on data transformation, integration, and load processes to ensure data accuracy and quality. Design, implement, and maintain test cases for validating ETL processes and data flows from source to target systems, ensuring compliance with business requirements. Manage and lead testing efforts for Salesforce integrations, ensuring seamless data synchronization between Salesforce and other internal or third-party systems. Troubleshoot and resolve issues related to data discrepancies, data transformation errors, and Salesforce data integration failures. Collaborate with business analysts, developers, and data engineers to define testing requirements and ensure alignment with project goals and timelines. Mentor and guide junior team members in ETL testing and Salesforce testing best practices, sharing technical expertise and knowledge. Automate ETL testing processes and ensure the efficiency of data validation, leveraging tools and frameworks to support continuous integration. Provide regular updates and detailed reports to stakeholders on testing progress, risks, issues, and recommendations for improvements. Qualifications we seek in you! Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, or a related field. Strong experience in ETL testing and familiarity with ETL tools (e.g., Informatica, Talend, or similar). In-depth knowledge of Salesforce testing, including experience with Salesforce integrations, Apex, Visualforce, and data validation. Proficiency in SQL for data validation and troubleshooting within ETL processes. Ability to create and execute complex test cases for data validation, transformation, and load processes. Preferred Qualifications Excellent analytical and problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a collaborative team environment. Exceptional communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Leadership experience, including leading teams, managing projects, and driving technical initiatives to successful completion. Certifications in relevant technologies (e.g., ISTQB, certifications) are a plus. Job Lead Consultant Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 3:01:32 PM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time,

You will lead and manage a global team of data migration experts, providing strategic direction and professional development. You will be responsible for developing and maintaining comprehensive data migration methodologies and best practices applicable to utility sector software implementations. Your role will involve designing and implementing robust data migration strategies that address the unique challenges of utility industry data ecosystems. Collaboration with solution architects, project managers, and client teams will be essential to define detailed data migration requirements and approaches. You will provide guidance and advice across the entire data migration lifecycle, including source data assessment and profiling, data cleansing and transformation strategies, migration planning and risk mitigation, execution of migration scripts and processes, as well as validation, reconciliation, and quality assurance of migrated data. Ensuring compliance with data protection regulations and industry-specific standards across different global regions will be a key aspect of your responsibilities. You will also develop and maintain migration toolsets and accelerators to improve efficiency and repeatability of migration processes. Creating comprehensive documentation, migration playbooks, and standard operating procedures will be part of your duties. Regular performance reviews of migration projects, implementation of continuous improvement initiatives, management and mitigation of risks associated with complex data migration projects, and providing technical leadership and mentorship to the data migration team are crucial tasks you will undertake. In terms of qualifications, proficiency in data migration tools such as Informatica, Talend, Microsoft SSIS, experience with customer information system (CIS) and/or billing system migrations, knowledge of data governance frameworks, understanding of utility industry data models and integration challenges, familiarity with cloud migration strategies including Salesforce, strategic thinking, and innovative problem-solving skills are necessary. Strong leadership and team management capabilities, excellent written and verbal communication skills across technical and non-technical audiences, ability to oversee a number of complex, globally dispersed projects, as well as cultural sensitivity and adaptability are also desired qualities for this role.,