Talend developer

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

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Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

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5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

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6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

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7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

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8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

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9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

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10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

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11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

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12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

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13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

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14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

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15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

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Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

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Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

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Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

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Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

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Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

• Maintain all records like Vouchers, Receipts, Bills, and Payments.
• Bank Reconciliation, Payment Collection.
• Monthly GST Working.
• Reconciliation of Sundry Debtors & Creditors
• Payment follows up by Telephonic & mailing
• Daily Stock maintains.
• Handling petty Cash Records.
• Maintain Sales Purchase Registers & Keep in Software properly
• Banking works like a Cheques issue for clearing Cash Deposit, NEFT, and RTGS
• Handling Day-to-Day Accounting
• Prepare Salary Statement, PF Account, Worker Salary, daily wages for Worker
• Finalization of Accounts, Statement of Accounts, Debtors Controls Accounts, Balance sheet Statement, Consumption Charts, Trial Balance, Fixed Assets.
• Tally Erp, Microsoft NAV ERP

Responsibilities: 

1. Develop and execute a comprehensive corporate content strategy that aligns with the company's communication goals and target audience. This includes creating compelling and impactful content for various channels such as the website, blog, social media, and corporate collateral.

2. Collaborate with internal stakeholders to gather information and insights for content creation, ensuring consistent brand messaging, tone, and voice across all corporate communication channels.

3. Conduct market research to stay informed about industry trends, customer needs, and competitor activities, using this information to inform content development and identify opportunities for proactive media engagement and thought leadership.

4. Optimize content for search engines and track content performance using relevant analytics tools, making data-driven decisions to improve content effectiveness.

5. Plan, coordinate, and manage public relations activities, including press releases, media interviews, media outreach campaigns, and building relationships with key media contacts, journalists, and industry influencers.

6. Develop and execute corporate events such as conferences, seminars, and product launches, creating event strategies, budgets, and timelines to achieve communication objectives and maximize attendee engagement.

7. Create and distribute event-related communications, invitations, and promotional materials to enhance event participation and awareness, while securing speaking engagements and thought leadership opportunities at industry conferences and events.

8. Develop and implement internal communication strategies to foster employee engagement and alignment with corporate values and goals. This includes creating and distributing internal communications materials, organizing town hall meetings, employee forums, and facilitating open dialogue.

Qualifications:

1. Bachelor's degree in communications, public relations, marketing, or a related field. Advanced degree preferred.

2. 4+ years of experience in corporate communications, public relations, or related roles.

3. Strong knowledge of corporate communications principles, strategies, and best practices.

4. Proficiency in communication tools, digital platforms, and analytics for content creation, distribution, and measurement.

5. Excellent written and verbal communication skills, with the ability to craft clear and impactful messaging.

6. Creative thinking and the ability to develop unique content ideas and innovative communication strategies.

7. Strong analytical skills to interpret data, measure communication effectiveness, and make data-driven decisions.

8. Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.

9. Familiarity with SEO, social media marketing, and emerging communication trends and technologies.

10. Strong leadership and team collaboration skills to work effectively with cross-functional teams and external partners.

• Overall accountable for achieving monthly deals target and quarterly revenue target
• Responsible for identifying / qualifying new opportunities for Avekshaa’ solutions andappNeura products mainly in the domestic Market.
• Responsible for building solid qualified pipeline.
• Pursue hot/warm leads and convert them into business.
• Provide operational support for all sales processes including alliances, pipeline
• progression, sales proposals, collections dashboards etc.
• Understand client’s needs and identifying the right solution to solve those busines schallenges
• Understand competitive landscape and constantly improve market intelligence
• Ensure selling effectiveness across the sales cycle.
• Build client database
• Support marketing activities across regions.

• Indian market - Lead generation
•  Maintaining the database
•  Cold calls, setting up the meeting
• 1-3 years of solutions, IT consulting and software product selling experience in the domestic market. Experience of selling APM products-services, IT service management,
• testing and security services will be an added advantage. (People with only Hardware and Network selling experience shall not apply)
• Must be hunter with ability to identify opportunities and convert leads into pursuits
•  Go Getter, has a drive to win - gets results despite hurdles, rejection, is persuasive and
• have the drive to win over competition
•  Must have achieved / over-achieved revenue targets consistently.
•  Ability to understand technical solution and articulate the same to CIO / Buyer over calls / meeting.
• Must have adequate exposure to client management and buyer processes including vendor registration etc.

About us

1. Innoviti (http://www.innoviti.com/">innoviti.com) is India’s largest provider of payment solutions to Enterprise merchants. 
2. Processing $10 Bn of payments from 2000 cities. We today have 76% of Enterprise market share. 
3. Enterprises such as Reliance, Landmark Group, Shoppers Stop, Pantaloons, Hamleys, Van Heusen, Louise Phillipe, Madura Garments and several other hundreds of Enterprises are our customers.
4. Our vision is to use technology to unlock the hidden value in payments, helping large and small businesses constantly find new and unique ways to grow faster with lesser efforts.
5. We believe payment transactions are more than money moving pipes.  Whenever a payment happens, it is not only the merchant who makes money, but also the brand whose product was sold and the bank whose payment instrument was used.  A merchant, brand, and bank talk to the same consumer, however there is no easy way for them to talk to each other.  Our technology makes this collaboration happen, and makes it happen at the point of payment. We help them share customers and share marketing budgets, in turn targeting customers better than possible otherwise. By making it happen at the point of payment we ensure for each party that their marketing efforts are translating into sales.
6. Today our technology has helped large businesses grow faster with lesser efforts.  They have been able to offer EMI, BNPL, Cashbacks, Loyalty Point redemption and other offers with merchants, brands and banks participating in it.  Every day new use cases are designed and stitched using our technology platform.
7. Our next target are small merchants.  For them, the problems are far larger and more complex.  They have no means to access the marketing budgets or customers of large brands or banks.  They cannot even cross the regional offices of these businesses.  This is where we come in.  We are bringing the power of the technology created for large merchants to these businesses.  Helping bring the power of large brands and banks with whom we already partner to small merchants.
8. Innoviti’s first target category in this segment is small merchants selling electronic goods – mobiles, durables, laptops etc.  They are struggling the most as their customers find attractive offers online through partner brands and banks, which they can’t match in their stores.  These businesses offer the advantage of touch, feel and explanation in local language.  What they lack is the technology to discover, access customers and attract them with superior offers.
9. GENIE, our smart marketing platform helps them do that.  It is a mobile app that integrates with bank and brands on one end and Google and Facebook on the other.  It not only helps them discover and access customers searching for these products online, but also attract them to their stores with offers better than online.
10. The app was launched in July 2021 and has shown a 100% month-on-month growth, with more than 23% of the merchant’s monthly sales now happening through it.  
11. In the next 5 years Innoviti wants to scale up its GTV from $10Bn to $30Bn, multiplying its revenue 10X.  
12. We want to be recognized in this space as the company that transformed the payments industry by showing ways of extracting value from payment transactions better than anyone else.  We want to be setting the path for the next generation of payment solutions, that will be followed by others.
13. Towards this we need to hire aggressive talented individuals, who firmly believe that no problem is unsolvable.  That there is always a way to solve the toughest of problems.  Those who get excited by solving such tough problems at scale, and seeing the impact of that around them in the market.  Those who feel fulfilled when they see that it is making a difference to the lives of people around them.

To drive this roadmap the company is looking for talent who are ready to do what no payments platform has done before and what every payment platform will do thereafter.

Would you like to join this journey?

Job description:

Designation:  Database Administrator

Location:  Bangalore

Responsibilities

• Provision MySQL instances, both in clustered and non-clustered configurations
• Ensure performance, security, and availability of databases
• Prepare documentations and specifications
• Handle common database procedures, such as upgrade, backup, recovery, migration, etc.
• Profile server resource usage, optimize and tweak as necessary
• Collaborate with other team members and stakeholders

Skills and Qualification:

• Graduate degree in Computer Science, Computer Engineering, or related technical discipline from Tier-1 Institutes

• 4-6 years of proven experience in Database Administration
• Decent experience with recent versions of MySQL
• Understanding of MySQL’s underlying storage engines, such as InnoDB and MyISAM
• Experience with replication configuration in MySQL
• Knowledge of de-facto standards and best practices in MySQL
• Proficient in writing and optimizing SQL statements
• Knowledge of MySQL features, such as its event scheduler
• Ability to plan resource requirements from high level specifications
• Familiarity with other SQL/NoSQL databases such as PostgreSQL, MongoDB, etc. 
• Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases

Personality:

The ideal person for this role would be someone who loves the challenge of an entrepreneurial environment, who has high ownership to be available 24x7 for our customers, who is able to deal with complexity and rapid change and who has large dreams to be part of interesting journey.

The person would be self-driven, results-oriented with a positive outlook and impeccable integrity. He/she would have a track record of delivering results consistently in uncertain environments. Excellent communication skills with an ability to manage crucial conversations with senior stakeholders.

Retail industry demands “I’ll do it now instead of tomorrow” attitude. Please be prepared for interesting journey if you want to grow fast with no age barriers.

Enpass Technologies Pvt. Ltd. (Gurugram) is seeking for an experienced Windows C++ GUI software developer. We have a product for securely managing the credentials across platforms through a native productivity app, GUI of which is written in Qt toolkit and we are looking for a talented, enthusiastic developer for the same.

JOB RESPONSIBILITIES:

• Design, build, and maintain efficient, reusable, and reliable Windows Qt/QML/C++ code.

• Implement performance and quality modules.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization, and automatization.

• Collaborate with cross- functional teams to define, design, and ship new features.

MUST HAVE SKILLS (Please do not apply if you do not fullfill this criteria):

* Desktop Applications using QT/Qml in Windows Environment

* Minimum 1 Year experience in Windows UWP development

• 4-6 yrs experience in C++11 or C++14 standerd.

• Very good knowlege of STL.

• Experience of Multithreading in ANSI C++

• Practical experience in Win32 apis.

• Basics of socket programming and inter process communication.

• Good understanding of REST apis and internet protocols in general.

• Must be able to write unit test.

GOOD TO HAVE SKILLS

* Experience with development of Qt Quick Controls 2 based applications

* Experience in software development for mobile or tablet devices

• Familiarity with Cryptography basic concepts.

• Familiarity with agile processes and development / SW quality practices such as code reviews.

• Expertise on methods and tools for CI and test automatization.

• Build distributable packages (msi or wix).

We are looking for a full‐time Senior .Net Full Stack Developer working on a new enterprise resource planning
application development as well as ongoing support for the application that is already in the production. The
successful candidate will join the existing development and support team. As an experienced .Net Developer, you
will work with a fast‐paced development team within an agile development framework.

Key Responsibilities
 The primary objective is the implementation of a new ERP application
 Development of framework based on C# and .Net Core with Core, Data, Services, UI Framework, Admin,
Web and Windows layers
 Provide TDD methodology and Unit testing for developed functionality
 Design and development of Conceptual/Logical/Physical Data Models
 Ensuring entire stack is designed and built for speed and scalability
 Equally proficient in back end and front end/UX design
 Prototype new features for rapid releases
 Be actively involved in product and architecture decisions
 Collaborate with other developers and participate in peer code reviews to ensure the technical solution
meets business requirements/needs
 Research new technology, tools, and methods to increase software efficiency
 Diagnose and fix bugs
 Provide on‐going support (debugging, issue resolution, data migration) for the current version of IBIS
application in production
 Implement and support EDI initiatives
 Conduct, support and trouble shoot data migration
 Configure and support Azure Cloud Computing Service
 Enthusiastic about learning, working within, and architecting high impact products.
 Strong verbal and written communication skills
 Desire to help grow our business with your technical skills
 Perform other tasks as necessary and requested by management
 Mentor junior developers on development best practices

Programming - C#, T‐SQL, JavaScript, LINQ

Markup Languages - HTML5, XML, JSON

Frameworks - JQuery, Bootstrap, .NET Core, Security,ASP.NET Core MVC
send resume to  poojitha.k  at  championsmail dot com

Database Server - SQL Server

Technologies - .NET Core, ASP.NET Core, ASP.NET Core MVC, REST, Entity Framework Core, LINQ, AJAX, Razor Pages, Rest APIs

BI - SSRS

IDE - Visual Studio 2019

UML - Rational Rose, Visio

Source Code Control - GitHub

OS - Windows

Back End - SQL Server, IIS, VirtualBox, Windows Server,Testing MS Unit, NUnit, xUnit, QUnit

Debugging - Fiddler, Postman

Cloud - Azure (App Service, SQL Databases)

Electronic Data Communication - EDI