5 Test Data Jobs nearby Kalyan

Analyze the physical and chemical properties of metals and alloys used in production. Conduct metallurgical testing, including hardness, tensile, impact, and microstructure analysis. Develop, test, and implement metal treatment processes  Provide technical support for material selection and failure analysis in design and production. Investigate product failures and recommend process or material improvements. Monitor and control metallurgical processes to ensure compliance with quality standards. Prepare metallurgical reports and maintain documentation of test results and process data. Collaborate with production & quality teams to enhance product performance and cost efficiency. Ensure compliance with industry standards and safety regulations  Support continuous improvement initiatives in material utilization, recycling, and sustainability.

As an Embedded Software Engineer, you will be responsible for designing and implementing software for embedded devices and systems. You will play a key role in the entire software development lifecycle, from requirements gathering to production and commercial deployment. Your primary responsibilities will include: - Designing, developing, coding, testing, and debugging system software - Reviewing code and design for quality assurance - Analyzing and enhancing efficiency, stability, and scalability of system resources - Integrating and validating new product designs - Supporting software QA and optimizing I/O performance - Providing post-production support - Interfacing with hardware design and development teams - Assessing third-party and open-source software for integration To excel in this role, you should possess the following qualifications: - Proven working experience in software engineering - BS degree in Computer Science or Engineering - Hands-on development and troubleshooting experience on embedded targets - Solid programming skills in C or C++ - Experience in embedded systems design with preemptive, multitasking real-time operating systems - Familiarity with software configuration management tools, defect tracking tools, and peer review processes - Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems - Adequate understanding of reading schematics and data sheets for components - Strong documentation and writing abilities This position offers an exciting opportunity to work on cutting-edge technologies such as AVR, 8051, ESP32, Raspberry Pi, ESP8266, and HTML. If you are passionate about embedded systems and software development, this role is ideal for you.,

As an Intern at Nexcel Consultancy Private Limited, your day-to-day responsibilities will include: - Assisting in identifying and automating repetitive processes using AI tools. - Supporting testing, integration, and documentation of AI platforms with existing systems. - Handling basic data extraction, analysis, and reporting using AI-driven solutions. - Collaborating with internal teams to implement and demonstrate AI use cases.,

Role Overview: Nextus Global Services is seeking a highly skilled and creative PPC Specialist to join their performance marketing team. The position involves building, managing, and scaling paid advertising campaigns across various platforms like Google, Meta, and Native Ads. The role also includes handling creative production and automation workflows using CRMs. Key Responsibilities: - Create, launch, and optimize paid ad campaigns across Google, Meta, Native Ads - Design high-converting ad creatives using Canva - Build and manage drip campaigns using marketing CRMs (e.g., GoHighLevel, Saabu, etc.) - Execute retargeting campaigns and lookalike audience strategies - Monitor, analyze, and report campaign performance using tracking tools (Google Analytics, Meta Pixel, UTM parameters, etc.) - Maintain daily budgets, KPIs, and A/B testing plans - Troubleshoot and adjust campaigns in real time to maintain ROAS - Coordinate with internal teams for funnel building, offers, and content strategy Qualifications Required: - Proven experience in PPC (3+ years preferred) - Strong Canva skills for quick and quality creative output - Solid understanding of CPC, CTR, CPM, ROAS, CPL metrics - Experience in running US based campaigns - Strong communication and campaign reporting skills Company Description: Nextus Global Services is a distinguished BPO provider specializing in both B2B and B2C solutions. Their focus on operational efficiency includes services such as data management and customer support. For consumer businesses, they prioritize creating exceptional multichannel experiences to enhance customer loyalty. By blending advanced technology with a customer-centric approach, the company is dedicated to delivering top-notch services and valuable business insights.,

Role Overview: You will be responsible for developing and implementing comprehensive digital marketing strategies to drive user acquisition and engagement. Your main focus will be managing and optimizing Facebook Ads and Google AdWords campaigns to maximize ROI and reach target KPIs. It will be your duty to analyze and report on campaign performance, providing insights and recommendations for continuous improvement. Collaborating with the creative team to create compelling ad copy and visuals that resonate with our target audience is an essential part of your role. You should stay up-to-date on industry trends and best practices to ensure our marketing efforts are cutting-edge and effective. Testing and iterating on new marketing channels and tactics to drive growth and expand our reach will also fall under your responsibilities. Additionally, you will work cross-functionally with other teams to ensure alignment and successful execution of integrated marketing campaigns. Qualifications Required: - Bachelor's degree in Marketing, Advertising, or related field - Proven experience in developing and executing digital marketing strategies - Strong analytical skills with the ability to interpret data and provide actionable insights - Excellent communication and collaboration skills - Up-to-date knowledge of digital marketing trends and best practices - Experience in managing Facebook Ads and Google AdWords campaigns is a plus (Note: The additional details about the company have been omitted as they were not specifically requested in the instructions) Role Overview: You will be responsible for developing and implementing comprehensive digital marketing strategies to drive user acquisition and engagement. Your main focus will be managing and optimizing Facebook Ads and Google AdWords campaigns to maximize ROI and reach target KPIs. It will be your duty to analyze and report on campaign performance, providing insights and recommendations for continuous improvement. Collaborating with the creative team to create compelling ad copy and visuals that resonate with our target audience is an essential part of your role. You should stay up-to-date on industry trends and best practices to ensure our marketing efforts are cutting-edge and effective. Testing and iterating on new marketing channels and tactics to drive growth and expand our reach will also fall under your responsibilities. Additionally, you will work cross-functionally with other teams to ensure alignment and successful execution of integrated marketing campaigns. Qualifications Required: - Bachelor's degree in Marketing, Advertising, or related field - Proven experience in developing and executing digital marketing strategies - Strong analytical skills with the ability to interpret data and provide actionable insights - Excellent communication and collaboration skills - Up-to-date knowledge of digital marketing trends and best practices - Experience in managing Facebook Ads and Google AdWords campaigns is a plus (Note: The additional details about the company have been omitted as they were not specifically requested in the instructions)

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

a) Basic functional Testing of (Capital Market) Trading Application like Omnesys, Greeksoft, ODIN, etc b) Identification of test scenarios, preparation and execution of test cases to verify application functionality against business requirements. c) Expertise in Manual Testing- with defect management tool such as HP-ALM 12.53 d) Very good knowledge of software Development Life Cycle (SDLC) and Software testing life cycle (STLC). e) Excellent skills in Defect Reporting. f) Extensive experience in Functional, Regression, Re-Testing, system and Sanity Testing. g) Knowledge on Agile methodology with scrum team. h) Scrum Meeting to discuss the Test status report. i) Excellent understanding of Defect life cycle. j) Designing and executing test cases to ensure that business requirements and functional specifications are tested. k) Design the Traceability Matrix to map Business Requirements with test Case. l) Conducted Test Case review and send the review comments to team mates. m) Experience in writing SQL Queries against database for data verification using SQL Server. n) Involved in Sanity, Smoke, Retesting, Regression, Functional and Non-Functional Testing. o) Strong verbal and written communication, interpersonal, decision-making, problem solving. p) Basic Knowledge of API testing.

We are reaching out regarding an exciting opportunity for the position of SAP Test Manager with one of our leading clients. Based on your experience, we believe you may be a strong fit for this role.Location Options: Mumbai / Pune / Bangalore / HyderabadExperience Level: 9-12 yearsNotice Period: 30 / 60 / 90 Days Role Overview: Define and implement test strategy, test plans, and test cases for SAP projectsManage the end-to-end testing lifecycle including Unit, Integration, Regression, and UATCoordinate closely with functional consultants, developers, and business teams for defect resolutionOversee test execution and reporting, ensuring alignment with project timelinesManage test environments and test data preparationUtilize test management tools such as HP ALM, Jira, and Solution ManagerLead and mentor members of the testing team8+ years of SAP testing experience, including 3+ years in a Test Manager roleStrong understanding of SAP modules and integration pointsExperience with test management methodologiesExcellent stakeholder management and communication skills If you are interested in exploring this opportunity, please apply. Regards,Capgemini HR Department

We are seeking a skilled ETL & Python Automation Tester to join our QA team. The ideal candidate will have strong experience in ETL testing, data validation, and Python-based automation to ensure the integrity, accuracy, and quality of data across data pipelines, warehouses, and reporting systems. Role : Automation Testing - ETL+ Python Automation Mode : HybridLocation : Pune/Chennai Key Responsibilities Design, develop, and execute ETL test cases for data ingestion, transformation, and loading processes. Validate data movement between source, staging, and target systems to ensure end-to-end data integrity. Automate ETL and data validation tests using Python and relevant testing frameworks. Create and maintain automated scripts for regression and functional testing. Work closely with Data Engineers, Developers, and Business Analysts to understand data flows and business rules. Perform data reconciliation, transformation validation, and schema testing. Implement and maintain test frameworks using pytest, unittest, or Robot Framework. Report and track defects in JIRA (or similar tools) and work with teams to resolve them. Contribute to test strategy, planning, and continuous integration (CI/CD) processes. Required Skills & Qualifications Bachelors degree in Computer Science, Information Technology, or related field. 3+ years of experience in software testing, with a focus on ETL and data testing. Strong knowledge of SQL for data verification and validation. Hands-on experience with Python scripting for automation. Experience with ETL tools (e.g., Informatica, Talend, SSIS, DataStage, Glue, etc.). Familiarity with data warehouses (Snowflake, Redshift, BigQuery, etc.). Knowledge of automation frameworks (pytest, unittest, Robot Framework). Experience with version control systems (Git) and CI/CD pipelines (Jenkins, GitLab CI, etc.). Strong analytical and problem-solving skills.

Role Overview: You will be responsible for implementing efficient and maintainable code using best practices and coding standards. As part of the role, you will design, develop, test, and deploy high-performance and scalable data solutions using Python. Collaboration with cross-functional teams to understand business requirements and translate them into technical specifications will be a key aspect of your responsibilities. Key Responsibilities: - Implement efficient and maintainable code using best practices and coding standards. - Utilize your experience in SQL to design, optimize, and maintain relational databases. - Write complex SQL queries for data retrieval, manipulation, and analysis. - Perform database performance tuning and optimization. - Work with Databricks platform for big data processing and analytics. - Develop and maintain ETL processes using Databricks notebooks. - Implement and optimize data pipelines for data transformation and integration. Qualifications Required: - Proficiency in Python for designing and developing high-performance data solutions. - Strong experience in SQL for database design, optimization, and maintenance. - Familiarity with Databricks platform for big data processing and analytics. - Experience in ETL processes and data pipeline optimization would be beneficial. (Note: No additional details about the company were mentioned in the provided job description.),

Role Overview: As a Lead Data Engineer specializing in Databricks & Master Data Management, you will play a crucial role in designing, developing, and optimizing the next-generation data platform. Your responsibilities will include leading a team of data engineers, providing technical guidance, mentorship, and ensuring the scalability and high-performance of data solutions. Key Responsibilities: - **Technical Leadership:** - Lead the design, development, and implementation of scalable and reliable data pipelines using Databricks, Spark, and other relevant technologies. - Define and enforce data engineering best practices, coding standards, and architectural patterns. - Provide technical guidance and mentorship to junior and mid-level data engineers. - Conduct code reviews to ensure the quality, performance, and maintainability of data solutions. - **Databricks Expertise:** - Architect and implement data solutions on the Databricks platform, including Databricks Lakehouse, Delta Lake, and Unity Catalog. - Optimize Spark workloads for performance and cost efficiency on Databricks. - Develop and manage Databricks notebooks, jobs, and workflows. - Proficiently use Databricks features such as Delta Live Tables (DLT), Photon, and SQL Analytics. - **Master Data Management:** - Lead the technical design and implementation of the MDM solution for critical domains (e.g., Customer, Product, Vendor). - Define and implement data quality rules, entity resolution, matching, and survivorship logic to create and maintain Golden Records. - Partner with Data Governance and Data Stewardship teams to ensure organizational policies, standards, and data definitions for master data assets. - Ensure seamless provisioning of high-quality master data from the MDM/Lakehouse platform to downstream systems (ERP, CRM, BI). - **Pipeline Development & Operations:** - Develop, test, and deploy robust ETL/ELT pipelines for data ingestion, transformation, and loading from various sources. - Implement monitoring, alerting, and logging for data pipelines to ensure operational excellence. - Troubleshoot and resolve complex data-related issues. - **Collaboration & Communication:** - Work closely with cross-functional teams such as product managers, data scientists, and software engineers. - Communicate complex technical concepts clearly to both technical and non-technical stakeholders. - Stay updated with industry trends and emerging technologies in data engineering and Databricks. Qualifications Required: - Extensive hands-on experience with Databricks platform, including Databricks Workspace, Spark on Databricks, Delta Lake, and Unity Catalog. - Strong proficiency in optimizing Spark jobs and understanding Spark architecture. - Experience with Databricks features like Delta Live Tables (DLT), Photon, and Databricks SQL Analytics. - Deep understanding of data warehousing concepts, dimensional modeling, and data lake architectures. - Familiarity with data governance and cataloging tools (e.g., Purview, Profisee).,

As an employee at Agoda, you will be part of an online travel booking platform that connects travelers with a global network of 4.7M hotels, holiday properties, flights, activities, and more. With a diverse team of 7,100+ employees from 95+ nationalities across 27 markets, you will work in an environment characterized by diversity, creativity, and collaboration. At Agoda, the culture encourages experimentation and ownership to enhance customer experiences worldwide. Key Responsibilities: - Experiment with text ads, bidding, and campaign structures on search engines such as Google, Bing, Baidu, and Naver. - Test, analyze, and optimize campaigns on social media platforms like Facebook, Twitter, and Instagram. - Analyze data, develop models for optimization, and create dashboards for account managers. Qualifications Required: - At least 5 years of experience in related roles. - Bachelor's Degree or higher in a quantitative subject. - Excellent English communication skills. - Advanced business acumen, statistical and analytical expertise. - Proficiency in Excel and data tools. - Ability to lead A/B testing initiatives and interpret results for business impact. Additional Company Details: Agoda aims to bridge the world through travel, believing in enriching lives, fostering empathy, understanding, and happiness. The team is passionate about making a positive impact through innovative technologies and strong partnerships to make travel easy and rewarding for everyone. The Performance Marketing Team at Agoda is a leading force in online marketing, focusing on data-driven strategies to enhance customer lifetime value. There is an emphasis on learning and growth, with opportunities to collaborate with experts from diverse backgrounds worldwide. Agoda is an equal opportunity employer that values diversity in its workforce. Your application will be kept on file for future vacancies, and you can request to have your details removed at any time. For more information, please refer to our privacy policy.,

The role involves overseeing Data Migration and Cutover activities as crucial program deliverables, requiring standardization, structure, and central governance. Data validations and orchestration should adhere to best practices, including technology interventions. Ensuring that migrated data (Master, Transactional, Reference) aligns with NFTP principles for fit-for-purpose use, necessitating defined data quality standards in collaboration with data owners. Cutover activities, both technical and business-related, must be executed with precise controls to minimize disruption to BAU processes. Responsibilities: - Collaborate with the technical data migration lead to manage overall data migration - Handle multiple releases and migrate data across functional work streams - Identify data to transition from legacy systems to S/4 HANA, MDG, etc. - Develop core migration deliverables and support testing during migration test cycles - Segregate Master, reference, and transactional data - Support program plans for each migration iteration - Assess data quality with owners and stewards - Manage associated migration risks Qualifications Required: - Excellent project management skills, preferably in agile methodologies - Prior experience in S4 HANA implementation projects - Strong knowledge of data migration and cutover processes, including best practices and technology interventions - Familiarity with finance & accounting processes (OTC, PTP, ATR, TAX, Cash & Bank, Control, and Management reporting) - Ability to work independently, collaborate with stakeholders, and manage relationships with senior leadership The company is committed to supporting applicants" needs during the application and hiring process. If you require special assistance or accommodations to use the website, apply for a position, or perform job-related tasks, please contact accommodationrequests@maersk.com.,

As an Applications Development Programmer Analyst at our company, your main objective will be to contribute to applications systems analysis and programming activities. You will participate in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your key responsibilities in this role will include: - Utilizing your knowledge of applications development procedures and concepts to identify and define necessary system enhancements. - Identifying and analyzing issues, making recommendations, and implementing solutions based on your understanding of business processes, system processes, and industry standards to solve complex issues. - Analyzing information to recommend solutions and improvements, conducting testing and debugging, writing basic code for design specifications, and assessing risk when making business decisions. To excel in this position, you should have: - Hands-on experience in designing, developing, and optimizing scalable distributed data processing pipelines using Apache Spark and Scala. - 3 to 6+ years of experience in big data development, focusing on Apache Spark, Scala/Python, and distributed systems. - Advanced knowledge of Scala, a good understanding of Python for data engineering tasks, solid understanding of data modeling principles and ETL processes in big data environments. - Strong analytical and problem-solving skills in analyzing and solving performance issues in Spark jobs and distributed systems. - Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications. - Experience with streaming platforms such as Apache Kafka or Spark Streaming. You should hold a Bachelor's degree/University degree or equivalent experience to be considered for this position. Please note that this job description provides an overview of the work performed, and other job-related duties may be assigned as required.,

Role Overview: As a Senior Analyst, Internal Audit AML/BSA Data Scientist at Synchrony, you will be a key member of the Internal Audit team, reporting to the VP of Internal Audit Compliance and Risk Management. Your role involves leveraging data science and data engineering to support AML/BSA audit activities. You will be responsible for creating advanced analytics solutions to enhance decision-making processes and provide robust data analytics support to the audit team. Your innovative solutions will improve audit efficiency, automate processes, and generate actionable insights, working closely with audit professionals and stakeholders to drive continuous improvement in AML/BSA audit practices. Key Responsibilities: - Deliver advanced analytics to support AML/BSA audit activities, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Ensure the accuracy and integrity of data used in AML engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with the Internal Audit team and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead data analytics from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Knowledge of data warehouse technical architecture, ETL, and analytic tools for extracting unstructured and structured data. - Proficiency in coding with Python, experience with visualization software like Tableau or Power BI, and managing, moving, and manipulating data from multiple sources. - Familiarity with segmentation techniques and model development techniques. - Ability to provide analytic support, interpret data, make strategic recommendations, and present to key stakeholders. - Strong communication, relationship building, influencing, collaboration, and project management skills. - Ability to work independently, multitask, and prioritize projects effectively. Additional Company Details: Synchrony, a premier consumer financial services company, offers a complete digitally enabled product suite across various industries. The company has been recognized for its inclusive workplace culture, career advancement opportunities, and employee benefits that prioritize work-life integration and overall well-being. As a remote position, you will have the flexibility to work from home, with occasional in-person engagement activities at the nearest office for team meetings, training, and culture events. Grade/Level: L09 Work Timings: 3:00 PM to 12:00 AM IST Eligibility Criteria: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Enhanced Flexibility and Choice offered in Synchrony India, requiring availability between 06:00 AM Eastern Time and 11:30 AM Eastern Time for meetings with India and US teams, with flexible remaining hours for the employee to choose.,

As an Applications Development Senior Programmer Analyst at our company, you will play a crucial role in establishing and implementing new or revised application systems and programs in coordination with the Technology team. Your main responsibilities will involve conducting feasibility studies, providing IT planning, developing new applications, and offering user support. You will need to leverage your specialty knowledge to analyze complex problems, recommend security measures, and consult with users on advanced programming solutions. Additionally, you will be responsible for ensuring operating standards are followed and acting as an advisor to junior analysts. **Key Responsibilities:** - Conduct feasibility studies, time and cost estimates, and risk analysis for applications development - Monitor and control all phases of the development process including analysis, design, testing, and implementation - Provide user support and operational assistance on applications - Analyze complex problems and provide evaluation of business and system processes - Recommend and develop security measures for successful system design - Consult with users on advanced programming solutions and assist in system installations - Define operating standards and processes and serve as an advisor to junior analysts **Qualifications:** - 8-14 years of relevant experience - Strong experience in systems analysis and programming - Proven track record in managing and implementing successful projects - Working knowledge of consulting and project management techniques - Ability to work under pressure and manage deadlines effectively - Proficiency in Python programming language - Expertise in data processing frameworks like Apache Spark, Hadoop - Experience with cloud data platforms such as AWS, Azure, or GCP - Strong knowledge of SQL and database technologies - Familiarity with data orchestration tools like Apache Airflow or Prefect - Experience with containerization technologies like Docker and Kubernetes would be a plus In addition to the above responsibilities and qualifications, please note that this job description provides a high-level overview of the work performed. Additional duties may be assigned as required. If you are a person with a disability and require a reasonable accommodation to apply for this role, please review the Accessibility at Citi information.,

As a Lead Test Engineer at Jet2, you will play a crucial role in our Data Engineering & Analytics program by working closely with colleagues across business and technical teams. You will be responsible for testing and ensuring the quality of various data sources, cleansing, structuring, and transforming data to support a range of use cases from self-service analytics to data warehousing and data science. Your expertise in Cloud Data Engineering will help us efficiently deliver solutions and evolve our Data Engineering processes to align with industry best practices. Key Responsibilities: - Plan, monitor, and direct testing activities to deliver high-quality, well-modelled, clean, and trustworthy data assets for business use - Lead test delivery across multi-disciplinary data delivery teams encompassing on-prem, cloud, data platforms, warehouse, tableau dashboard, etc. - Assess the appropriate level of testing for each task, support planning, execution, and documentation of testing activities - Measure and improve data test practices and processes - Help develop Agile Data Testing methodologies and Automated Data Testing processes - Provide direct line management for Test Engineers, ensuring learning and development plans are in place and reviewed regularly - Lead new initiatives in test automation, focusing on maximizing reusability for regression - Build test plans, scenarios, and test data to support development projects and requirements - Develop and oversee onboarding QA Training for new hires and advance training programs for experienced resources This role offers an exciting opportunity to contribute to Jet2's journey of becoming a leading data-driven organization through effective data utilization.,