Sales Executive

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

We’re Hiring: HR – NON-IT Recruiter/ Talent Acquisition

Location: Hyderabad

Company Overview:

Navata Road Transport is a leading logistics and transportation company with a legacy of reliable service across India. With an extensive network of 670+ branches, strong fleet capacity and a commitment to timely deliveries, Navata has built long-standing trust with customers in diverse industries. Our culture encourages growth, responsibility and excellence in operational performance.

Key Responsibilities:

·        Handle End to End Recruitment

·        Source candidates through various channels (job portals, social media, referrals)

·        Screen and shortlist resumes based on job requirements

·        Closing vacant positions with in TAT

Requirements:

·        1 - 3 Years of experience in Non-IT Recruitment

·        Qualification: MBA-HR or Graduation.

·        Proven experience with Naukri portal and other job portals

·        Strong sourcing, screening, and shortlisting skills

·        Good Communication & Presentations skills

·        Languages : Hindi, English & Telugu

If you’re interested, please share your resume at

You can also tag or share this post with anyone who might be a good fit.

Strong Azure DevOps Engineer Profiles.

Mandatory (Experience 1) – Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).

Mandatory (Experience 2) – Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.

Mandatory (Experience 3) – Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell

Mandatory (Experience 4) – Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database

Mandatory (Experience 5) – Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis

Preferred

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

YOptima is a well capitalized digital startup pioneering full funnel marketing via programmatic media. YOptima is trusted by leading marketers and agencies in India and is expanding its footprint globally.

We are expanding our tech team and looking for a prolific Staff Engineer to lead our tech team as a leader (without necessarily being a people manager). Our tech is hosted on Google cloud and the stack includes React, Node.js, AirFlow, Python, Cloud SQL, BigQuery, TensorFlow.

If you have hands-on experience and passion for building and running scalable cloud-based platforms that change the lives of the customers globally and drive industry leadership, please read on.

1. You have 6+ years of quality experience in building scalable digital products/platforms with experience in full stack development, big data analytics and Devops.
2. You are great at identifying risks and opportunities, and have the depth that comes with willingness and capability to be hands-on. Do you still code? Do you love to code? Do you love to roll up your sleeves and debug things?
3. Do you enjoy going deep into that part of the 'full stack' that you are not an expert of?

Responsibilities:

• You will help build a platform that supports large scale data, with multi-tenancy and near real-time analytics.
• You will lead and mentor a team of data engineers and full stack engineers to build the next generation data-driven marketing platform and solutions.
• You will lead exploring and building new tech and solutions that solve business problems of today and tomorrow.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science or equivalent discipline.
• Excellent computer systems fundamentals, DS/Algorithms and problem solving skills.
• Experience in conceiving, designing, architecting, developing and operating full stack, data-driven platforms using Big data and cloud tech in GCP/AWS environments.

What you get: Opportunity to build a global company. Amazing learning experience. Transparent work culture. Meaningful equity in the business.

At YOptima, we value people who are driven by a higher sense of responsibility, bias for action, transparency, persistence with adaptability, curiosity and humility. We believe that successful people have more failures than average people have attempts. And that success needs the creative mindset to deal with ambiguities when you start, the courage to handle rejections and failure and rise up, and the persistence and humility to iterate and course correct.

1. We look for people who are initiative driven, and not interruption driven. The ones who challenge the status quo with humility and candor.
2. We believe startup managers and leaders are great individual contributors too, and that there is no place for context free leadership.
3. We believe that the curiosity and persistence to learn new skills and nuances, and to apply the smartness in different contexts matter more than just academic knowledge.

Location:

1. Brookefield, Bangalore
2. Jui Nagar, Navi Mumbai

•  6+ years of web UI development experience including 4+ years of deep, hands on experience in building robust, highly reusable and responsive web applications using HTML, CSS3, SVG, React, Redux, Thunk ecosystem
• Great problem-solving skills with solid data structures and algorithms knowledge
• Strong ability to translate the design/wireframes into reusable micro components
• Experience of leading, coaching and mentoring junior developers with good delegation and time-management skills
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles and has extensively worked with Redux, Thunk, Axios etc
• Knowledge of modern authorization mechanisms, such as JSON Web Token, Oauth2 etc
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• A knack for perfection, benchmarking and optimization
• Writing and maintaining batch jobs to streamline processes (Shell, Perl etc).
• Strong understanding of Agile and Lean software development processes and practices
• Worked with WebSocket, Push notifications etc
• Experience working with local-storage, cookies etc
• Proficient understanding of CORS issues and ways to work with such issues.
• Proficient understanding of social network APIs.
• Experience with data structure libraries (e.g., Immutable.js)
• Inclined to take ownership of tasks and to ship highly polished products with excellent attention to detail.
• Strong verbal and written communication skills in English.
• BE/BTech in Computer Science or a related field or equivalent practical experience

• Define best strategies for product development 
• Product road maps 
• Wireframing 
• should have 15 plus years exp