3D Modeling Intern

Role Overview 

We are looking for an AI Engineer to design, build, and ship production AI systems, including agentic AI applications, for enterprise clients. This is a hands-on engineering role: you will write production code, build and evaluate models and agents, and work closely with architects and product teams to take solutions from prototype to scale. 

Key Responsibilities 

Design and build agentic AI systems: agent workflows, tool/function-calling, memory, and human-in-the-loop patterns. Build and productionise RAG pipelines, prompt-based applications, and LLM integrations across providers. Develop and maintain data and ML pipelines: feature engineering, model training, evaluation, and monitoring. Integrate AI systems with enterprise applications (CRMs, ERPs, ITSM tools) via APIs, events, and MCP-based tool servers. Implement guardrails, prompt-injection defences, and evaluation frameworks to keep AI systems safe and reliable in production. 

Write clean, tested, production-grade code and participate actively in code and design reviews. 

Collaborate with architects, product managers, and delivery teams to translate requirements into working AI solutions. Troubleshoot and optimise AI systems for accuracy, latency, and cost in production. 

Required Qualifications 

8–12 years of hands-on software engineering experience, with a strong, unbroken technical track record. Hands-on experience building and shipping AI/ML systems in production, not just POCs. 

Practical experience with agentic AI systems and at least one major agent framework (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Bedrock Agents/Strands, or Semantic Kernel). 

Experience with LLM/GenAI systems: RAG pipelines, prompt engineering, structured outputs, and tool calling across providers. 

Strong Python skills (TypeScript/Node.js a plus), with production-grade testing, CI/CD, and API design practices. Working knowledge of ML fundamentals: model evaluation, feature engineering, and experimentation. Cloud-native experience on AWS and/or Azure: containers, serverless, event backbones, and vector databases. Understanding of LLM safety and reliability practices: guardrails, prompt-injection defences, and observability. 

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.

---

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.

---

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.

---

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.

---

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.

---

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.

Job Details

- Job Title: Android Developer

- Industry: IT- Services

- Function - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Delhi

- CTC Range: Best in Industry

Criteria:

· Strong technical background in Android application development and Kotlin

· Looking candidates having 5+ years of experience.

· Need candidates from Delhi NCR Only.

· All Academic backgrounds acceptable (except BCA).

· Immediate Joiners Preferred

· Candidate must have some experience working with IoT devices.

· Candidate should have experience working with Camera model X.

· Candidate's Academic scores must be 70% or above.

· Candidate having fluent communication will be an added advantage.

Job Description 

About the Role:

Senior Android Team Lead will be responsible for testing, QC, debugging support for various Android and Java software/servers for products developed or procured by the company. The role includes debugging integration issues, handling on-field deployment challenges, and suggesting improvements or structured solutions. The candidate will also be responsible for scaling the architecture. You will work closely with other team members including Web Developers, Software Developers, Application Engineers, and Product Managers to test and deploy existing products. You will act as a Team Lead to coordinate and organize team efforts toward successful completion or demo of applications. This includes implementing projects from conception to deployment.

Responsibilities:

● Working with the Android SDK, Java, Kotlin, NDK

● Handling different Android versions and screen sizes

● Applying Android UI design principles, patterns, and best practices

Requirements:

● Strong technical background in Android application development and Kotlin

● Solid programming skills

● Detail-oriented with strong attention to specifics

● Excellent written and verbal communication skills

● Strong analytical and quick problem-solving ability

● Ability to quickly document requirements from open discussions

● Fast typing skills for documentation and communication

● Familiarity with JIRA, EPICs, Excel, Google Sheets, and Agile methodologies

● Team player with leadership qualities

● Decision-making ability and team management skills

● Interest in working in a startup environment with cutting-edge products

● Experience with design and architecture patterns

● Understanding of testing processes, debugging, code versioning, and repositories

● UI/UX experience

● Strong knowledge of Java & Kotlin

● Software development experience with strong coding skills

● Experience building services for data delivery to mobile clients

● Experience with relational and non-relational databases

● Knowledge of REST and JSON data handling

● Experience with libraries like Retrofit, RxJava, Dagger 2, Lottie

● Server integration (REST endpoints)

● Experience with AWS stack and Linux

● Apps shipped and available on Google Play

● Backend API development

● Familiarity with Android Studio, Eclipse IDE

● Good knowledge of mobile hardware, software, and operating systems

● Willingness to work in a fast-paced startup environment

● Strong oral communication and presentation skills

● Team-oriented, with a positive approach to technology and engineering

● Result-oriented with a focus on efficiency and timeliness

● Strong self-awareness and ability to work under deadlines

● Proficiency in Microsoft Project, PowerPoint, Excel, Word

● Willingness to mentor and manage team members

● Willing to travel 5–10% of the time for demos, training, and collaboration

Preferred Background:

● Understanding of Artificial Intelligence and Machine Learning

● B.S. / M.S. in Computer Science, Electrical, or Electronics Engineering

● 5+ years’ experience with Android, Java Server, JSP

● Experience with Virtual Reality and Augmented Reality

● Familiarity with Test-Driven Development

● Background in CS or ECE

● Python experience is a big plus

● iOS development knowledge (not mandatory)

● Strong foundation in data structures and algorithms

Strong Recruitment / Talent Acquisition focused-profile

Mandatory (Availability) - Must be available immediately, to join from client office location in Indiranagar, Bengaluru (5 Days WFO)

Mandatory (Experience 2) - Must have strong experience in hiring for Product, Tech and Design roles.

Mandatory (Company) - Small Recruitment Agency (Not more than 50 Employees) OR Small / Early-stage Startup

Preferred

Preferred (Company) - Early-stage Tech Startup

Job Summary: 

We are looking for a talented Full Stack Developer with experience in C# (ASP.NET Core Web API), React, and SQL Server. The successful candidate will be responsible for designing, developing, and maintaining robust web applications and APIs, ensuring seamless integration between the front-end and back-end systems. 

Key Responsibilities: 

Full Stack Development: Design, develop, and maintain web applications using C#, ASP.NET Core Web API, and React. 

API Development: Create and maintain RESTful APIs to support front-end applications and integrations. 

Database Management: Design, optimize, and manage SQL Server databases, including writing complex queries, stored procedures, and indexing. 

Front-End Development: Implement user interfaces using React, ensuring a smooth and responsive user experience. 

Code Quality: Write clean, scalable, and well-documented code following best practices in software development. 

Collaboration: Work closely with cross-functional teams, including UI/UX designers, back-end developers, and DevOps, to deliver high-quality software solutions. 

Testing & Debugging: Conduct unit testing, integration testing, and debugging to ensure the quality and reliability of applications. 

Continuous Improvement: Stay updated on the latest industry trends and technologies and integrate them into development processes where applicable. 

Required Qualifications: 

Experience: Proven experience as a Full Stack Developer with a strong focus on C#, ASP.NET Core Web API, React, and SQL Server. 

Technical Skills: 

Proficient in C# and ASP.NET Core Web API development. 

Strong experience with React and related front-end technologies (JavaScript, HTML, CSS). 

Expertise in SQL Server, including database design, query optimization, and performance tuning. 

Familiarity with version control systems like Git. 

Understanding of RESTful architecture and Web API design. 

Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex issues. 

Communication: Strong verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders. 

Team Collaboration: Ability to work effectively in a team environment, collaborating with cross-functional teams to achieve project goals. 

Preferred Qualifications: 

Experience with ASP.NET Core MVC or Blazor. 

Knowledge of cloud platforms such as Azure or AWS. 

Experience with Agile/Scrum development methodologies. 

Education: 

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)

Job Title: Primary Design Engineer

Experience: 2-4 years

Salary: 12-15 LPA

Location: Bangalore (BTM 1st Stage)

Working Days: Monday to Friday

No. of Positions: 2

Role Summary

The Primary Design Engineer will perform engineering activities to design primary electrical systems/equipment within the HV/EHV electricity grid, switchgears and power plants. This role involves ensuring that projects are executed in accordance with company procedures, contract specifications, and schedule commitments while adhering to international and local quality standards.

Responsibilities include needs analysis, primary system design, conducting site surveys, creation

of the technical documentations and taking the necessary responsibilities as a project design team

member. The role requires collaboration with internal teams, external vendors, and end customers

to ensure seamless integration and functionality of electrical design solutions.

Desired Experience

• A minimum of 2 years of hands-on experience with specific focus in HV/EHV substations, powerplants and switchgears.
• Prior experience working with utilities in the UK or Europe, providing familiarity with regional regulations and operational practices, which is advantageous for immediate deployment to assignments.
• Knowledge of design tools like AutoCAD for SLD’s, layouts, sectional views, cable schedules, earthing systems.
• Proficiency in primary equipment sizing such as Aux. TR, Diesel Gen, cable etc.
• Familiarity with factory and site acceptance tests from design to approval phase.
• Good communication skills with leadership qualities for team working culture, ability to generate techno economic reports with apt writing skills.

Key Responsibilities

• Develop and design primary systems for HV/EHV substations and power plants, ensuring reliable operation.
• Prepare the technical design documents, including general arrangement drawing, layouts, single line diagrams, sectional views, panel arrangements, cable schedules , earthing systems and technical specifications.
• Carry out site surveys, collection of the information of the current situation of the existing substations or power plants.
• Present the technical design of the primary system drawings, detailed specification etc. with the customers and stakeholders for approval.
• Possess sufficient knowledge and/or experience to work safely in an HV/EHV substation, adhering to HSE regulations and industry standards such as OSHA or equivalent guidelines to mitigate risks and ensure compliance.
• Prepare load lists for auxiliary services such as AC distribution system, DC distribution system and UPS/Inverter distribution system.
• Possess familiarity with industry standards and codes such as IEC, IEEE, and local regulations.
• Demonstrate proficiency in analysis tools like ETAP, DIgSILENT PowerFactory, or similar software.
• Have substation, power plant and MV switchgear knowledge is mandatory.
• Possess knowledge of load flow analysis and power system.
• Possess knowledge of renewable energy integration, energy storage systems, and smart grid technologies.
• Calculate the equipment sizing such as transformer, diesel generator, cable etc.
• Provide technical support to site teams during construction works to ensure proper functionality within electricity grid.
• Ensure all engineering documentation such as basic design documents, system configurations, and standard operating procedures are accurate.
• Work closely with project managers, secondary design engineers, civil design engineers and other stakeholders to ensure seamless integration of primary systems/equipment.
• Be accountable for identifying the correct Point(s) of Work and protecting the Working Party or any Third Parties through the provision of Special Operating Conditions or Restrictions.
• Promote and enforces safe working environment by enforcing and supporting adequate HSE measures in all activities undertaken by himself & the team, follows ethics and compliances as per company guidelines.

Client Introduction:

We are a global knowledge enterprise driving energy and water industry transformation through innovative solutions. With a strong focus on sustainability, digitalization, and smart infrastructure, we collaborate with utilities, governments, and large enterprises to optimize performance and build a future-ready power network.

Employees: 1000+

Countries: 10

RESPONSIBILITIES:

- Help your engineers grow their skills and experience

- Conduct code reviews, and make technical contributions to product architecture as well as get involved in solving bugs and delivering small features

- Hold regular 1:1's with all members of the team, give regular and clear feedback around the individual's performance

- Foster technical decision-making on the team, but make final decisions when necessary

- Provide oversight and leadership to a team of developers to ensure timely execution of team and project deliverables

- Maintain up-to-date skills in software development technologies and a broad understanding of the business, business needs, and how applications/assets drive and support the business

REQUIREMENTS:

- 6+ years of experience in software development and 1+ in team management.

- In-depth technical experience in at least one of the core languages, frameworks, or technologies used in backend development.

- Ability to mentor junior software developers, as well as to collaborate with all stakeholders.

- Extensive experience in developing, deploying, and integrating software solutions.

- Proficiency in documenting processes and monitoring performance metrics.

- Knowledge of best practices related to design principles, API development and software architecture.

- Ability to keep up with software industry trends and innovation.

- Exceptional interpersonal and communication skills.

Please apply at this link - https://loginext.hire.trakstar.com/jobs/fk0q2xl?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0q2xl?source=

LogiNext is looking for a dynamic and competent professional to manage the efficient execution of accounting services. The work at LogiNext is very fast paced, agile, and hence, you must be able to multitask to deal smoothly with competing levels of priority.

Responsibilities

Responsible for quarterly GAAP and IFRS accounting oversight and financial reporting. Liaise with external auditors to facilitate the timely completion of audited financial statements. - Having experience in Asset Management, Risk Management, Valuations, Tax, Legal, Compliance, Product Management, Middle Office, and Treasury. AP and AR management, ensure timely processing of the invoices and thus timely payments. Invoice clarification including interaction with purchasers, requisitions and/ or vendors and ensuring 100% accuracy of invoices processed. Raising proper queries to business in case of any issues in invoices processing & resolving the issues. Maintain and reconcile Accounts Payable and GR/ IR accounts. Understand and apply procure to pay processes, policies, procedures and internal control standards Support all internal and external audits.

Requirements

Bachelor’s degree in finance, commerce and CA with 1 - 2 years of experience 4 to 6 years of relevant experience in Accountancy administration Proficiency in Microsoft Office, Zoho Books, Oracle or similar accounting software Proficiency in statutory and tax filings including GST, TDS, PF, PT, MLWF, ESIC, sales tax, income tax and related reconciliations Experience of accounting standards Indian GAAP and US GAAP Experience in preparing management reporting (MIS), company vauations, stock option agreements and related computations Experience of secreterial filings with regularory authorities like RoC in India, RBI in India and SEC in the US Should have multitasking ability and ability to meet the targeted deadlines Strong numerical aptitude and attention to detail Excellent communication skills, both verbal and written Good time management and organizational skills

Job Description :-

• Have intermediate/advanced knowledge of Python.
• Hands-on experience with OOP in Python. Flask/Django framework, ORM with MySQL, MongoDB is a plus.
• Must have experience of writing shell scripts and configuration files. Should be proficient in bash.
• Should have excellent Linux administration capabilities.
• Working experience of SCM. Git is preferred.
• Should have knowledge of the basics of networking in Linux, and computer networks in general.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration.
• Understanding of Architecture of OpenStack/Kubernetes and good knowledge of standard client interfaces is a plus.
• Code contributed to OpenStack/Kubernetes community will be plus.
• Understanding of NFV and SDN domain will be plus.

Job Responsibilities

• Manage a team of talented engineers and oversee daily execution
• Work with product managers in planning sprints and task estimation
• Remove roadblocks for teams and increase delivery velocity
• Provide technical leadership to the team
• Be Technical SME in client meetings
• Be a stickler for code quality, test coverage
• Coach and grow engineering team

To be successful in this role, you need to have/be:

• Proven track record in managing engineering teams and delivering quality products.
• Experience in Ruby on Rails, React JS tech stacks
• Experience in building high performance web applications/APIs
• Top notch analytical/problem solving/debugging skills
• Should have proven ability to build, lead and develop a team
• Strong communication skills with the ability to clearly articulate needs as well as provide the team with a clear overview of the priorities
• Excellent verbal, analytical, organizational, and written skills