SDET

Role: Azure Fabric Data Engineer

Experience: 5–10 Years

Location: Pune/Bangalore

Employment Type: Full-Time

About the Role

We are looking for an experienced Azure Data Engineer with strong expertise in Microsoft Fabric and Power BI to build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.

Key Responsibilities

• Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
• Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
• Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
• Create and optimize Power BI datasets, data models, and DAX calculations.
• Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
• Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
• Build dimensional models (Star/Snowflake) and support BI teams.
• Ensure data governance & security using Purview, RBAC, and AAD.

Required Skills

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
• Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
• Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
• Strong SQL, Python/PySpark skills.
• Experience in Delta Lake, Medallion architecture, and data quality frameworks.

Nice to Have

• Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
• Experience with CI/CD (Azure DevOps/GitHub).
• Databricks experience (preferred).

Note: One Technical round is mandatory to be taken F2F from either Pune or Bangalore office

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-2 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Assignment Round
• 4th Round - HR Round

Job Description:

• Profile: AI/ML Engineer
• Experience: 1-2 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Roles And Responsibilities:

1) Python Proficiency and API Integration:

Demonstrate strong proficiency in Python programming language.

Design and implement scalable, efficient, and maintainable code for machine learning applications.

Integrate machine learning models with APIs to facilitate seamless communication between different software components.

2) Machine Learning Model Deployment, Training, and Performance:

Develop and deploy machine learning models for real-world applications.

Conduct model training, optimization, and performance evaluation.

Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.

3) Large Language Model Understanding and Integration:

Possess a deep understanding of large language models (LLMs) and their applications.

Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.

Stay abreast of the latest advancements in large language models and contribute insights to the team.

4) Langchain and RAG-Based Systems (e.g., LLamaindex):

Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.

Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.

5) LLM Integration with Vector Databases (e.g., Pinecone):

Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.

Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

6) Natural Language Processing (NLP):

Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.

Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers

7) Computer Vision:

Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.

Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.

8) Deep Learning:

Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.

Experience with model optimization, hyperparameter tuning, and transfer learning.

9) Data Manipulation:

Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.

Proficiency in data cleaning, preprocessing, and augmentation techniques.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

Position: Team Lead – Data Engineering

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

• Design and architect scalable, high-performance data solutions.
• Lead and mentor a team of data engineers.
• Build and optimize large-scale data pipelines.
• Drive architectural decisions and technical strategy.
• Ensure data quality, governance, and security best practices.
• Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

• Strong hands-on experience in Java & Python.
• Strong expertise in SQL and Big Data technologies.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Apache Airflow for workflow orchestration.
• Strong understanding of distributed systems and data architecture.
• Experience in CI/CD pipelines (mandatory).
• Experience in data warehousing and ETL processes.
• Excellent leadership and stakeholder management skills.

Good to Have:

• Experience with Dataflow (Apache Beam).
• Experience designing enterprise-level data platforms.
• Exposure to DevOps best practices.

· Proactively recommend new features and improvements to optimize and grow the use of the platform.

· Collaborate with key stakeholders to build, iterate, and improve existing or new processes and functions.

· Design, build, and deliver tailored Salesforce solutions for the business using Salesforce and other connected technologies.

· Uphold and promote best practices, design guidelines for security practices.

· Day to day administration, troubleshooting, and maintenance of the connected Salesforce platforms

· Support the continued build-out of key reports and dashboards, data administration, and integrity upkeep.

· Provide technical specifications and help maintain overall documentation for the business.

Skills and Qualifications

· At least 2 years of experience with technical implementations

· In-depth technical knowledge of Salesforce development and standard features

· Advanced experience with Salesforce.com configurations

· Should be aware about the best practices and governance limits.

· Leverage recommended frameworks.

· Knowledge in SFDC database with SOQL & SOSL

· Strong Salesforce development experience including working knowledge and ability to code in APEX (classes, triggers, batch processes and web services, Salesforce APIs, SOQL, and Force.com.

· Good understanding of Java Scripts and Cascading Style Sheets.

· Should have exposure to lightning aura components.

· Hands-on experience on REST and BULK API’s

· Good understanding of sales business process

· Should be able to understand the issue in live project and identify the RCA.

· Ability to analyse business processes/requirement and suggest the best possible solution.

Preferred Qualifications

· Bachelor of Engineering

Must have experience on Java, Spring MVC / Boot, Hibernate / MyBatis 

- Must have experience on building large scale application 

- Must have experience on RESTful Web-Services 

- Must be good in problem solving, Data structures and Algorithms. 

- Strong understanding of Web Architectures, E-commerce solutions 

- Strong understanding of any MySql / Postgresql 

- Strong understanding of any Redis / Memcached / Mongodb / Elasticsearch 

- Hands-on experience on GCP / AWS would be an added advantage 

- Hands-on experience on Kubernetes / Docker would be an added advantage 

- Basic knowledge of version control system like Git / Mercurial / Bitbucket 

- Writes well managed and clean codes 

Candidate Profile:

Role: Marketing Campaign Coordinator

Vertical: Marketing 

Education:  Any graduate or postgraduate but  MBA - Marketing( preferred)

Understanding of: Marketing Campaigns, IT Sales process, CRM system, Lead sourcing

Total Experience: Around 2 years

Overview of the Company

Armentum is an IT Services company that provides the following services. 

1. Website Design and Development
2. Web and Mobile Application Development (LAMP and MEAN/MERN Stack)
3. SEO Services

and our development center is based in Bangalore, India. Our total team strength is over (50) people. Our team has deep expertise in building large scale applications in the finance, real estate, and banking industry. 

Specific Responsibilities

• Excellent Communication Skills and Content Writing skills - this is non-negotiable and is a must.
•  Will be responsible for planning and managing all Inbound and Outbound outreach campaigns that are a mixture of email marketing and telemarketing
• Having prior knowledge of working with Product Marketing 
• Coordinate with Telemarketer to make the follow-up to convert sourced leads into appointments
• Maintaining the KPI for the team and the campaigns, drafting an analytics report every month and evaluate the performance with the growth manager and do course correction where required.
• Prior knowledge of working on any CRM for an end to end marketing and sales campaigns 
• Promptly responding to emails from potential clients, coordinating with the sales team to ensure the appointment is set up, and to ensure all sales collaterals are ready before a sales call.

Ideal Candidate Description

• 1.5-2 years of working in Marketing services specifically in IT Product Marketing.
• Excellent Writing and Communication Skills
• Proficient using tools like MS Office & Google Drive
• Must possess knowledge of CRM systems and how they operate
• Excellent presentation skills
• Ability to learn things quickly 
• Industrious, Orderly and Disciplined
• Must be able to meet tight deadlines 
• Excellent documentation skills
• Ability to effectively communicate with different teams
• Quick thinker, ability to get things quickly, and to manage time

Profile Roles and Responsibilities :

A) Recruit, Train, and Coach the Sales Team

1. Recruit and train to ensure that there is enough strength to handle the sales projections 15 days in advance

2. Provide training, help, and second voice to the sales advisors to help them achieve their targets

3. Develop rebuttals for the evolving customer queries and train the team members on the same

4. Work with the Training Manager to ensure the success of trainees

B) Set goals and measure/audit performance of each team member

1. Develop sales target for each of the team member and explain them the same with deadlines

2. Measure daily, weekly, monthly performance trends of each team member and take corrective actions to match the organization's expectations

3. Conduct daily team hurdles to brief the team on the team and individual targets

4. Motivate team members to meet and exceed targets

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles