

Location: Mumbai
Job Type: Full-Time (Hybrid – 3 days in office, 2 days WFH)
Job Overview:
We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications.
Key Responsibilities:
- Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).
- Implement data models in collaboration with the Data Analytics and BI teams.
- Optimize and manage large-scale SQL and Spark-based data processing solutions.
- Ensure data availability and reliability for third-party application consumption.
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
Required Skills & Experience:
3–5 years of hands-on experience in:
- Azure data services
- Data Modeling
- SQL development and tuning
- Apache Spark
- Strong knowledge of Azure Synapse Analytics.
- Experience in designing data pipelines and ETL/ELT processes.
- Ability to troubleshoot and optimize complex data workflows.
Preferred Qualifications:
- Experience with data governance, security, and data quality practices.
- Familiarity with DevOps practices in a data engineering context.
- Effective communication skills and the ability to work in a collaborative team environment.

About Intellikart Ventures LLP
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Job Opening: FreeSWITCH Developer
Location: Ecospace Business Park, Rajarhat, Newtown, Kolkata
Employment Type: Full-Time, Permanent
Shift: Day Shift
Experience: Minimum 4+ years in FreeSWITCH/VoIP Development
Responsibilities:
- Design, develop, deploy, troubleshoot, and maintain tools and services supporting our cloud telephony network.
- Customize FreeSWITCH for large-scale audio/video conferencing (1000–1500 concurrent calls).
- Expertise in SIP, RTP, RTCP, TURN, STUN, NAT, TLS.
- Hands-on experience with RTP Proxy and routed audio conferences.
- Understanding of SDP Protocol offer/answer mechanism.
- Work with load testing tools for FreeSWITCH audio conferences.
- Deploy and manage multiple FreeSWITCH instances using load balancers.
- Debug issues using packet captures (Wireshark/Ngrep).
- Collaborate with mobile/API teams for integration and support.
- Knowledge of codecs (PCMU, PCMA, G729, Opus) and open-source telephony technologies (FreeSWITCH, WebRTC).
- Familiarity with SIP servers (SER/OpenSER), proxy servers, SBC, SIPX is a plus.
Qualifications:
- Bachelor’s degree in Engineering (B.Tech/MCA).
- 4+ years of hands-on experience in FreeSWITCH development or related VoIP technologies.
- Strong knowledge of Linux environments and command-line tools.
- Basic to intermediate SQL knowledge.
- Proficiency in scripting (Bash, Python, Perl) for automation.
- Strong understanding of VoIP protocols (SIP, RTP), networking principles (TCP/IP, DNS, DHCP, routing protocols).
- Excellent troubleshooting skills with ability to resolve complex technical issues.
- Strong problem-solving, communication, and collaboration skills.
Industry Preference:
- Travel (Preferred)
- Any Industry (Required)
3 to 5 years of experience in Java with Microservices Experience
- Experience in Spring Boot, Jenkins, Git, Hibernate, Kubernetes, and Docker
- Experience in the development of scalable and extensible systems using Java
- Proficiency in Database technology such as MySQL, Oracle, and MongoDB
- Routines Sync & Async
- Solid and fluent understanding of algorithms and data structures
- Excellent software design, problem-solving and debugging skills
- Demonstrated high ownership in previous projects
- Excellent Communication Skills"
A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.
Job Summary:
- Hardware Support:
- Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
- Perform hardware repairs and upgrades.
- Software Support:
- Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
- Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.
- Network Support:
- Provide assistance in connecting workstations to the company network and resolving connectivity issues.
- Troubleshoot network-related issues on desktops and laptops.
- User Support:
- Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
- Offer guidance on proper system usage and IT best practices.
- System Maintenance:
- Regularly update and patch desktop systems to ensure security and functionality.
- Backup important files and data as per company policy.
- Documentation:
- Maintain logs of issues, solutions, and configurations for future reference.
- Document common problems and resolutions for knowledge-sharing purposes.
- Customer Service:
- Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.
Key Skills:
- Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
- Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
- Communication: Strong verbal and written communication skills to interact with end-users.
- Networking Basics: Understanding of network configurations and troubleshooting.
- Time Management: Capable of handling multiple requests and prioritizing tasks.



LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities :
Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties
Requirements:
Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.


Designation : Senior Software Developer (Python)
Department : Software
Location : Airoli, Navi Mumbai
Office Time : 11am – 8pm / 12pm – 9pm
Skills and Experience:
- Should have relevant experience of 5-8 years
- Python programming experience 4+ years
- Django (python web framework) experience 2+ years
- Flask/FastAPI (API development) experience 1+ years
- Pgsql database experience 3+ years
- Machine learning (ML)/NLP experience 1+ years
- Good to have knowledge of OCR/Tesseract
- Good to have knowledge of LLM/BERT/GenAI
- Good to have knowledge of Celery for queuing
- Good to have knowledge of ML model/Python App deployment on Azure/AWS
Job ID : LK0601
Java Developer JD;
- 2-7 years of Experience
- Java 8
- Spring boot
- API development
- MVC architecture
- web services
- OOPS
- Develop the model virtually for specific design discipline.
- Ensure that the model aligns with the standards and goals set in BIM Execution Plan and BIM project workflow criteria.
- Collaborate and coordinate internally or/and externally with other disciplines design-changes and model changes.
- Create discipline specific BIM Modelling content.
- Develop accurate construction drawings and extract data based on the discipline BIM platform.
- Coordinate design documentation as a methodology with full utilisation of BIM softwares and tools.



Company: Lincode Labs
Responsibilities:
Establish and maintain a deep understanding of the overall product portfolio and the competitive landscape. Lead technical discovery and prepare/deliver technical presentations explaining our products to prospects and customers. Create and deliver powerful presentations and demos to clients that clearly communicate the uniqueness of the value proposition. Successfully manage and execute technical proof of concepts (POCs), on-site or remote. Responsible for representing the product to customers and at field events such as conferences, seminars, etc. Evangelize Lincode products to prospects, customers, and partners via presentations and product demos. Convey feature input and customer requirements to Product Management teams. Partnering with sales executives to plan, prepare and execute on strategic deals in complex sales cycles. Collaborate with sales teams to understand customer requirements and provide sales support. Respond to technical objections and articulate the value and return on investment delivered. Liaise with the Engineering, Product, Marketing, and Sales teams to provide consultative technical expertise for all customer needs. Effectively communicate & build confidence with customers across teams (Engineering, Product, Marketing, and Sales). Engage in and oversee the development of customer proposals, design and delivery, ensuring all expertise, information and recommendations are concisely defined
Requirements:
2-3 years Sales Engineering experience. Worked previously with Machine Learning/ Computer Vision Companies- preferred Min qualification- Graduates Knowledge about installing Industrial cameras Excellent presentation, written and verbal communication skills to communicate professionally. Self motivated with strong interpersonal and problem-solving skills. Ability to work well in a highly dynamic team.

