29 Etl Automation Jobs

Key Responsibilities Perform end-to-end ETL testing including data extraction, transformation, and loading validation Design and implement automation scripts for ETL testing using tools like Python, Selenium, or equivalent frameworks Validate data flow, transformation logic, and data integrity across systems Develop test cases, test plans, and test scripts based on business requirements Collaborate with data engineers, developers, and business analysts to ensure high-quality data delivery Analyze and troubleshoot data discrepancies and report defects with detailed documentation Skills Required 23 years of experience in ETL Testing with automation capabilities Strong knowledge of SQL and database validation Experience with ETL tools (e.g., Informatica, Talend, SSIS) Hands-on experience in test automation using Python, Selenium, or similar frameworks Understanding of data warehousing concepts and data modeling Excellent analytical and debugging skills To Apply Walk-in / Contact: White Horse Manpower #12, Office 156, 3rd Floor, Jumma Masjid Golden Complex, Jumma Masjid Road, Bangalore 560051. Contact: 7996827671

Python, Pytest, SQL, ETL Automation, AWS glue, BDD , Gherkin

Skills Requirements: Must have - Python, Pytest, SQL, ETL Automation, AWS, Data warehousing Good to have - Java, Selenium, API Automation, Rest Assured, Postman Proficient in Automation testing tools such as Selenium or Appium • Knowledge of scripting languages such as Python or JavaScript • Experience with Test Automation frameworks and best practices • Familiarity with Agile testing methodologies • Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. • Must understand the company's long-term vision and align with it. • Should be open to new ideas and be willing to learn and develop new skills. • Should also be able to work well under pressure and manage multiple tasks and priorities.

Role Description : As a Technical Lead - Automation - Functional Testing at Incedo, you will be responsible for designing and executing test cases and scripts to ensure the functionality of software products and applications. You will collaborate with cross-functional teams to identify and resolve defects and provide recommendations for improvements to the development team. Roles & Responsibilities: Design and develop automation functional testing solutions using tools such as Selenium and Appium. Collaborate with stakeholders to gather and analyze requirements and design solutions that meet business needs. Configure and deploy automation functional testing solutions, and troubleshoot technical issues as needed. Develop and maintain documentation, including user guides and training materials. Technical Skills Skills Requirements: Must have - Python, Pytest, SQL, ETL Automation, AWS, BDD , Gherkin Good to have - Java, Selenium, API Automation, Rest Assured, Postman Proficient in Automation testing tools such as Selenium or Appium Knowledge of scripting languages such as Python or JavaScript Experience with Test Automation frameworks and best practices Familiarity with Agile testing methodologies Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

You are invited to join our team as a Senior SSIS Developer in Gurgaon at our Corporate Office. With over 5 years of experience in SSIS development and expertise in SQL/T-SQL, you will play a key role in designing, developing, and deploying complex SSIS packages for data integration and ETL workflows. Your responsibilities will include performing end-to-end data migration, collaborating with business analysts and data architects, automating ETL workflows, troubleshooting data-related issues, and supporting on-prem to cloud data integration, particularly with Oracle Cloud Infrastructure (OCI). Key Responsibilities: - Design, develop, and deploy complex SSIS packages for data integration and ETL workflows. - Perform end-to-end data migration from legacy systems to modern platforms with a focus on data quality and performance. - Collaborate with business analysts and data architects to gather and understand integration requirements. - Automate and schedule ETL workflows using SQL Server Agent or equivalent. - Troubleshoot data-related issues and conduct root cause analysis. - Provide support for on-prem to cloud data integration, especially with Oracle Cloud Infrastructure (OCI). Required Skills: - 5+ years of strong hands-on experience in SSIS development. - Proficiency in SQL/T-SQL and performance tuning. - Expertise in working with diverse data sources: flat files, Excel, Oracle, DB2, SQL Server. - Solid understanding of data validation, reconciliation, and historical data loads. - Good understanding of job scheduling and ETL automation. - Exposure to Oracle Cloud Infrastructure (OCI). If you are passionate about designing and optimizing ETL solutions using Microsoft SSIS, and have experience with data migration and transformation workflows along with the required skills mentioned above, we encourage you to apply for this position. Interested candidates can apply by commenting below or sending their resume to shashank.deshmukh@lancesoft.in. Join us in shaping the future of data integration and engineering with a dynamic and innovative team in Gurgaon.,

JD Should have good experience in DB testing, writing Complex SQLs Should have worked on ETL applications or BigData technologies . Hands on experience in building automation frameworks for Database testing and data pipeline using Python. Should have worked on Python + Pytest/Robot automation frameworks. Should be proficient in Web Testing and have working automation experience in UI Testing

ETL AUTOMATION TEST LEAD Share CV'S to : afreen.banu@in.experis.com Note share Alternate contact & Mail id's with cv's

Hi Candidates, We have an role for the ETL automation tester for PAN INDIA locations interested candidates can mail their cv's at Abhishek.saxena@mounttalent.com or whatsapp me at 6386134108 Roles and Responsibilities Design, develop, and execute comprehensive test plans for ETL processes using Oracle tools such as Data Integrator and SQL Developer. Collaborate with cross-functional teams to identify requirements and ensure seamless integration of data warehouses. Develop automated tests for ETL processes using various programming languages like Python or Java. Troubleshoot issues related to data quality, performance tuning, and security in the ETL process. Participate in Agile development methodologies to deliver high-quality solutions on time. Desired Candidate Profile 5-10 years of experience in ETL Testing with expertise in Data Warehouse Testing and Data Mart creation. Strong understanding of Oracle technologies including Data Integrator, SQL Developer, PL/SQL programming language. Bachelor's degree (B.Sc) or Master's degree (M.Tech/B.E.) from a recognized university.

•Experience with ETL testing. •Ability to create data bricks notebooks to automate the manual tests •Ability to create and run Test pipelines and interpret the results. •Ability to test complex reports and write queries to check each metrics Required Candidate profile •Experience in Azure Databricks and SQL queries - ability to analyse data in a Data Warehouse environment. •Ability to test complex reports and write queries to check each metrics.

Job Title:GN - SC&O - S&P Spend Analytics Senior Data Scientist Management Level:8 Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accentures spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelors or Masters degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | AccentureQualification Experience:9+ years Educational Qualification:Bachelors or Masters degree

Walk-in Interview Chennai Role: ETL Testing Automation Experience in ETL testing & automation, SQL, RDBMS, ETL tools (Informatica/Talend), Python/Java, Selenium/PyTest, CI/CD, Git, data warehousing. Cloud DW (Snowflake etc.) is a plus.9399240094

Greetings from TATA Consultancy Services!! Thank you for expressing your interest in exploring a career possibility with the TCS Family. Role: ETL Test Engineer Experience: 4 to 10 years Interview Location: Bangalore Job description: Min 4 to 10 yrs of Exp in ETL Testing. 1. SQL - Expert level of knowledge in core concepts of SQL and query. 2.Lead and mentor a team of ETL testers, providing technical guidance, training, and support in ETL tools, SQL, and test automation frameworks. 3.Create and review complex test cases, test scripts, and test data for ETL processes. 4. ETL Automation - Experience in Datagap, Good to have experience in tools like Informatica, Talend and Ab initio. 5.Execute test cases, validate data transformat ions, and ensure data accuracy and consistency across source and target systems 6. Experience in query optimization, stored procedures/views and functions. 7. Strong familiarity of data warehouse projects and data modeling. 8. Understanding of BI concepts - OLAP vs OLTP and deploying the applications on cloud servers. 9. Preferably good understanding of Design, Development, and enhancement of SQL server DW using tools (SSIS,SSMS, PowerBI/Cognos/Informatica, etc.) 10.Develop and maintain ETL test automation frameworks to enhance testing efficiency and coverage. 11. Integrate automated tests into the CI/CD pipeline to ensure continuous validation of ETL processes. 12. Azure DevOps/JIRA - Hands on experience on any test management tools preferably ADO or JIRA. 13. Agile concepts - Good experience in understanding agile methodology (scrum, lean etc.) 14. Communication - Good communication skills to understand and collaborate with all the stake holders within the project

We are seeking a skilled ETL/DWH Tester to support CXM testing for our insurance sector clients. The candidate will possess strong expertise in ETL testing, SQL, and experience in the insurance domain. Proficiency in Agile, JIRA, and ETL automation.

Job Track Description: Create and support complex DB Objects like Stored Procedures, Custom Functions and Triggers for both Data Warehouse and application development. Performance tuning of DB Objects, ETL and SSRS Reports. Design the ETL, Analysis and Reporting solutions. Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end. Create and support ETL processes using SSIS and SQL Server Jobs Convert legacy reports to modern technologies using Microsoft BI platform. Develop and maintain a thorough understanding of business needs from both technical and business perspectives. Guide the team members for the best solutions. Effectively prioritize and execute tasks in a high-pressure environment. Qualifications / Experience Bachelor\u2019s/Master\u2019s degree in Computer Science / Computer Engineering or equivalent experience 6+ years of experience in SQL Server 5+ years of experience in Microsoft BI Stack & Reporting solutions (mainly Power BI & SSRS) including development of reports (RDLs, T-SQL, complex stored procedures, subscriptions, MDX), and Dimensions, Facts & Cubes Data Modeling/Data Warehouse Design experience Experience in ETL packages using SSIS is desirable. Strong understanding of SDLC and version control Excellent oral and written communication skills

Our client is an EU subsidiary of a Global Financial Bank working in multiple markets and asset classes. DWH / ETL Tester will work closely with the Development Team to design, build interfaces and integrate data from a variety from internal and external data sources into the new Enterprise Data Warehouse environment. The ETL Tester will be primarily responsible for testing Enterprise Data Warehouse using Automation within industry recognized ETL standards, architecture, and best practices. Responsibilities Perform intake of new ETL Project & initiatives, make the high-level assessment in collaboration with the leadership of the roadmap. Design Test Strategy and Test Plan to address the needs of Cloud Based ETL Pipelines. Contribute and manage Testing Deliverables. Ensure the implementation of test standards and best practices for the agile model & contributes to their development. Engage with internal stakeholders in various areas of the organization to seek alignment and collaboration. Deals with external stakeholders / Vendors. Identify risks / issues and present associated mitigating actions taking into account the critically of the domain of the underlying business. Contribute to continuous improvement of testing standard processes. Skills Expert level knowledge on Data Warehouse, RDBMS concepts. Expertise on new age cloud-based Data Warehouse solutions ADF, SnowFlake, GCP etc. Hands-On expertise in writing complex SQL using multiple JOINS and highly complex functions to test various transformations and ETL requirements. Knowledge and Experience on creating Test Automation for Database and ETL Testing Regression Suite. Automation using Selenium with Python (or Java Script), Python Scripts, Shell Script. Knowledge of framework designing, REST API Testing of databases using Python. Experience using Atlassian tool set, Azure DevOps. Experience in Code & Version Management GIT, Bitbucket, Azure Repos etc. Qualifications A bachelor's degree or equivalent experience in computer science or similar. Experience in crafting test strategies and supervising ETL DWH test activities on multi-platform & sophisticated Cloud based environments. Strong analytical mind-set with the ability to extract relevant information from documentation, system data, clients and colleagues and analyze the captured information. ISTQB Foundation Certificate in Software testing Optional/Preferred experience in the financial industry, knowledge of Regulatory Reporting and the terms/terminology used. Important to Have Proficiency in English read/write/speak. Able to demonstrate your ability to learn new technologies. Able to easily adapt to new circumstances / technologies / procedures. Stress resistant and constructive whatever the context. Able to align with existing standards and acting with attention to detail A true standout colleague who demonstrates good interpersonal skills. Able to summarize complex technical situations in simple terms. Solution and customer focused. Good communication skills, a positive attitude, and a competitive, but team-oriented focus are key elements to be successful in this challenging environment. Nice to have Experience in the financial industry, knowledge of Regulatory Reporting and the terms/terminology used.

Role Overview We are seeking a talented ETL Engineer to design, implement, and maintain end-to-end data ingestion and transformation pipelines in Google Cloud Platform (GCP). This role will collaborate closely with data architects, analysts, and BI developers to ensure high-quality, performant data delivery into BigQuery and downstream Power BI reporting layers. Key Responsibilities Data Ingestion & Landing Architect and implement landing zones in Cloud Storage for raw data. Manage buckets/objects and handle diverse file formats (Parquet, Avro, CSV, JSON, ORC). ETL Pipeline Development Build and orchestrate extraction, transformation, and loading workflows using Cloud Data Fusion. Leverage Data Fusion Wrangler for data cleansing, filtering, imputation, normalization, type conversion, splitting, joining, sorting, union, pivot/unpivot, and format adjustments. Data Modeling Design and maintain fact and dimension tables using Star and Snowflake schemas. Collaborate on semantic layer definitions to support downstream reporting. Load & Orchestration Load curated datasets into BigQuery across different zones (raw, staging, curated). Develop SQL-based orchestration and transformation within BigQuery (scheduled queries, scripting). Performance & Quality Optimize ETL jobs for throughput, cost, and reliability. Implement monitoring, error handling, and data quality checks. Collaboration & Documentation Work with data analysts and BI developers to understand requirements and ensure data readiness for Power BI. Maintain clear documentation of pipeline designs, data lineage, and operational runbooks. Required Skills & Experience Bachelors degree in Computer Science, Engineering, or related field. 3+ years of hands-on experience building ETL pipelines in GCP. Proficiency with Cloud Data Fusion , including Wrangler transformations. Strong command of SQL , including performance tuning in BigQuery. Experience managing Cloud Storage buckets and handling Parquet, Avro, CSV, JSON, and ORC formats. Solid understanding of dimensional modeling: fact vs. dimension tables, Star and Snowflake schemas. Familiarity with BigQuery data zones (raw, staging, curated) and dataset organization. Experience with scheduling and orchestration tools (Cloud Composer, Airflow, or BigQuery scheduled queries). Excellent problem-solving skills and attention to detail. Preferred (Good to Have) Exposure to Power BI data modeling and DAX. Experience with other GCP services (Dataflow, Dataproc). Familiarity with Git, CI/CD pipelines, and infrastructure as code (Terraform). Knowledge of Python for custom transformations or orchestration scripts. Understanding of data governance best practices and metadata management.

Role: TSO Exp: Min 2 years Must have Exp in Data Migration Testing (ETL Testing), Manual & Automation, Agile Scrum Methodology and Financial domain experience Salary: Max 5.25 LPA. Location: Chennai/Pune Regards, Vicky 7200396456.

Data Scientist (6-8 Years Experience) Company Overview Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology, and Operations services"”all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. At Accenture, we offer a dynamic and challenging environment for analytical and creative minds. We value a diverse workforce committed to achieving client goals and delivering results. Were built on a foundation of exceptional talent and are on the lookout for driven, energetic professionals to enhance our team. Key Responsibilities Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture's spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Technical Requirements Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Collaboration and Communication Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Other Important Details Work Location:Gurugram, India Expected Start Dates:July 2024 Qualifications Who Should Apply? Work Experience:6-8 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelor’s or Master’s degree in Engineering, Mathematics, Computer Science, or a related field. Job Requirements: - Extensive experience in handling and classifying spend data using AI/ML Techniques. - Strong leadership and team management skills. - Proficiency in MS Excel and MS PowerPoint. - High attention to detail, accuracy, and innovative problem-solving skills. - Preferred experience in supply chain management, with a focus on applying AI/ML techniques to optimize operations.

Greetings from Cognizant!!! We are hiring for Permanent Position with Cognizant. Experience:- 3 - 6 Yrs. Mandatory to have experience in ETL Testing, Mongo DB, Python, SQL, Azure databricks . Work Location: Chennai, Coimbatore Interview Mode : ( Virtual ) Interview Date : Weekday & Weekend

Experience:- 5-11 years Location:-Bangalore/Chennai/Hyderabad/Pune (F2F on 7th June) Notice Period:- Immediate Key Responsibilities: - Design and execute test plans, test cases, and test scripts for ETL processes - Validate data quality, integrity, and accuracy in source and target systems - Identify and report defects, and collaborate with ETL developers to resolve issues - Perform data profiling, data validation, and data reconciliation - Develop and maintain test automation frameworks and scripts - Lead and mentor junior testers, and provide guidance on testing best practices - Collaborate with stakeholders to understand testing requirements and ensure compliance with testing standards

locationsMumbai - HiranandaniPune - Business Bayposted onPosted 3 Days Ago time left to applyEnd DateJune 30, 2025 (30 days left to apply) job requisition idR_307045 Company: Marsh Description: We are seeking a talented individual to join our Benefit Analytics Team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Principal Engineer - Data Science We will count on you to: Design and implement data analytics products that utilize web-based technologies to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore the "Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesizing disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Collaborate with cross-functional teams to develop and deploy machine learning models and predictive analytics solutions. Utilize SQL for database management and data manipulation, with a focus on optimizing queries and data retrieval processes. Develop ETL Automation pipelines using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around LLM/RAG/Power BI/Tableau will be preferred What you need to have: Educational Background A Bachelors or Masters degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field is essential. A strong academic foundation will support your analytical and technical skills. Experience 3-5 years of progressive experience in a Data Science or Data Analytics role, demonstrating a solid track record of delivering impactful data-driven insights and solutions. Technical Proficiency : Programming Skills Advanced proficiency in Python is required, with hands-on experience in data engineering and ETL processes. Familiarity with exploratory data analysis (EDA) techniques is essential. API Knowledge Intermediate experience with ChatGPT APIs or similar technologies is a plus, showcasing your ability to integrate AI solutions into data workflows. Business Intelligence Tools A good understanding of BI tools such as Qlik Sense, Power BI, or Tableau is necessary for effective data visualization and reporting. Data Extraction Expertise Proven ability to extract and manipulate data from diverse sources, including web platforms, PDFs, Excel files, and various databases. A broad understanding of analytics methodologies is crucial for transforming raw data into actionable insights. Analytical Mindset Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively to stakeholders. Adaptability to New Technologies A keen interest in AI and emerging technologies, with a willingness to learn and adapt to new tools and methodologies in the rapidly evolving data landscape. What makes you stand out Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred ) Experience in Healthcare sector, working with Multination clients . Why join our team We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Design, develop, execute automated test scripts for ETL pipelines Automate data validation processes between source and target systems Build reusable test automation frameworks for ETL workflows Create test data, write complex SQL queries Required Candidate profile Identify bottlenecks and data quality issues across the data pipeline Collaborate with developers, analysts, and QA team to define automation coverage Maintain test suites and update scripts Perks and benefits Perks and Benefits

Greetings from KVC CONSULTANTS LTD. HIRING FOR LEADING IT MNCs JOB DESCRIPTION Technical and Professional Requirements: > Experienced data testing profile with: SQL, ETL, Data layer validations, Microservices (API), Python / Java automation. > Good to have: Master Data Management (MDM), Cloud (Azure/AWS/GCP) Data Testing. > Good communication and stakeholder management. >Test automation (Graphical User Interface/ Service Oriented Architecture/ ETL) utilizing tools ( Selenium , Appium , Mocha, Test NG , CA Dev Test , Rest Assured , IDQ , DVO etc. Jenkins, TeamCity, GitLab" Preferred Skills: Technology->Automated Testing->Automated Testing - ALL->Cucumber Technology->Microservices->Microservices API Management Technology->Data Services Testing->Data Warehouse Testing->ETL tool Foundational->Configuration Management->Build Management->Jenkins Technology->OpenSystem->Python - OpenSystem->Python Technology->Mobile Testing->Mobile Functional Test Automation (iOS Android)->Appium ETL Testing + Python Programming Educational Requirements MCA, MSc, MTech, Bachelor of Engineering, BCA, BSc Thanks & Regards HRTeam KVC CONSULTANTS NO PLACEMENT CHARGES

Job Track Description: Create and support complex DB Objects like Stored Procedures, Custom Functions and Triggers for both Data Warehouse and application development. Performance tuning of DB Objects, ETL and SSRS Reports. Design the ETL, Analysis and Reporting solutions. Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end. Create and support ETL processes using SSIS and SQL Server Jobs Convert legacy reports to modern technologies using Microsoft BI platform. Develop and maintain a thorough understanding of business needs from both technical and business perspectives. Guide the team members for the best solutions. Effectively prioritize and execute tasks in a high-pressure environment. Qualifications / Experience Bachelor\u2019s/Master\u2019s degree in Computer Science / Computer Engineering or equivalent experience 6+ years of experience in SQL Server 5+ years of experience in Microsoft BI Stack & Reporting solutions (mainly Power BI & SSRS) including development of reports (RDLs, T-SQL, complex stored procedures, subscriptions, MDX), and Dimensions, Facts & Cubes Data Modeling/Data Warehouse Design experience Experience in ETL packages using SSIS is desirable. Strong understanding of SDLC and version control Excellent oral and written communication skills Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded:click here to access or download the form. Complete the form and then email it as an attachment toFTADAAA@conduent.com.You may alsoclick here to access Conduent's ADAAA Accommodation Policy. At Conduent we value the health and safety of our associates, their families and our community. For US applicants while we DO NOT require vaccination for most of our jobs, we DO require that you provide us with your vaccination status, where legally permissible. Providing this information is a requirement of your employment at Conduent.

•Experience with ETL testing. •Ability to create data bricks notebooks to automate the manual tests •Ability to create and run Test pipelines and interpret the results. •Ability to test complex reports and write queries to check each metrics Required Candidate profile •Experience in Azure Databricks and SQL queries - ability to analyse data in a Data Warehouse environment. •Ability to test complex reports and write queries to check each metrics.