
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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SleekSky is a fast-growing engineering studio that partners with venture-backed product teams to ship modern, cloud-native software. We’re hiring a Software Engineer to join one of our health-tech clients and help build a scalable, user-centric platform that’s making a real-world impact—without revealing any confidential project details.
What you’ll do
- Build and ship production-ready React features that feel fast, accessible and polished.
- Design and maintain Node.js / Express APIs that are clean, secure and well-documented.
- Leverage AWS services (EC2, Lambda, Elastic Cache / Redis, load balancers, etc.) to deliver reliable, high-performance solutions.
- Automate CI/CD pipelines with GitHub Actions and uphold strong Git workflows.
- Collaborate in an agile, fully remote team that values code reviews, knowledge-sharing and continuous improvement.
- Champion engineering best practices—testing, monitoring, and infrastructure-as-code—while keeping an eye on new tech that can raise the bar.
What you’ll bring
- 2+ years of hands-on experience in full-stack development.
- Proven expertise with React (hooks, component architecture, state management) and modern JavaScript/TypeScript.
- Solid experience building RESTful services in Node.js with Express (or similar).
- Familiarity with AWS fundamentals (EC2, Lambda, load balancing, caching layers).
- Comfortable with Git, GitHub and automated CI/CD pipelines (e.g., GitHub Actions).
- Self-motivated, proactive and enthusiastic about learning new technologies and sharing knowledge with the team.
- Clear, concise communication skills—vital for an all-remote environment.
Nice-to-haves
- Experience with infrastructure-as-code (Terraform, CloudFormation, CDK).
- Exposure to containerisation (Docker, ECS, EKS) or serverless architecture patterns.
- Prior work in health-tech or other regulated domains.
Why SleekSky?
At SleekSky, you’ll join a culture that puts people first—pair programming, regular knowledge-sharing sessions and a genuine passion for building things the right way. Expect autonomy, trust and a runway to grow your craft alongside enthusiastic peers.
Ready to level up with SleekSky? Submit your résumé on your preferred hiring portal and we’ll be in touch right away.
We're looking for candidates with experience with IT services sales only for this role. The candidate will be responsible for generating IT (Information Technology) sales and business, developing relationships with new clients, making sales visits and presentations, maintaining advanced knowledge of services, and establishing and meeting sales goals. The official designation would be Customer Success Executive.
Job Responsibilities
- Assist the sales team in lead generation and prospecting by using various online and offline tools and methods like cold calling, emails, events etc.
- Identify potential clients and establish relationships to understand their needs and requirements.
- Schedule appointments and demos for the sales team with qualified prospects.
- Provide excellent customer service by responding promptly to inquiries and concerns.
- Collaborate with other departments, such as marketing and customer service, to ensure customer satisfaction and retention.
- Liaise with technical team and marketing team for product marketing
- Achieve annual and quarterly order and revenue targets
- Suggest upgrades and services that may be of interest to clients.
- Negotiate with clients to secure the most attractive prices.
- Develop sales presentations, proposals, and contracts.
- Review clients' feedback and implement necessary changes.
- Remain in tune with trends in consumption to ensure that our offerings remain relevant.
Mandatory Skills:
- 2 years of Experience in IT Service Sales.
- MBA in marketing, business administration, or similar.
- Strong written and verbal communication skills.
- Excellent customer service and interpersonal skills.
- Ability to work independently and as part of a team.
- Should be good with decision-making and problem-solving skills
- Strong organizational and time-management skills.
- Ability to generate revenue by identifying pain points and suggesting suitable services.
- Great networking skills.
Benefits:
- Fantastic company culture.
- No politics. Just pure work and play!
- Very approachable and helpful seniors and peers.
- Get a chance to shape your career in one of the fastest-growing and dynamic spaces.
- Lots of creative freedom!
- Lots of fun at the workplace.
- Frequent fun activities to make work even more enjoyable :)
Gather requirements by identifying user needs and recommend solution to clients.
Develop user requirement document, functional specification, user guide and training material for solutions.
Act as a liaison between development team and stakeholder throughout the implementation.
Support implementation, user acceptance testing and training activities (when required).
Analyzing, developing and proposing enhancements to current business processes, reports and applications in order to optimize system effectiveness.
Provide support in pre-sales activities with sales and marketing team, activities included analysis on RFP, provide business proposal, conduct system demo.
What you’ll need?
Candidate must at least possess a Bachelor’s Degree in IT and Business majors preferred.
Prefer a minimum of 2 years’ experience analyzing business requirements and translating them into functional requirements but fresh graduate is encouraged to apply.
Must possess good knowledge of the software development life cycle (SDLC), practical understanding of information technology and have the ability to conceptually relate technology to business’ needs.
Effective communication skills to collaborate with stakeholders and technical teams.
Retail domain knowledge would be a strong advantage.
Data Analyst
The Data Analyst supports business stewards in the implementation of and best practices for data quality concepts and tools. He/she will be accountable for providing and implementing end-to-end solutions for large complex projects and executing data quality processes. This role operationally supports the larger sales and marketing operations in the organization and partners with the business ops team and other business partners to analyze, troubleshoot and resolve issues through troubleshooting and root cause analysis. The Data Analyst be responsible to conduct extensive research on Web portals to capture various information relevant to the business. The analyst will also build reports and data sets to monitor data quality to ensure crisp data is available to drive decision-making. As a key member of the Business Operations team, the Data Analyst will be responsible for the quality and integrity of the data housed in core business systems, including Salesforce.com and Marketo, among others
What You’ll Do (but is not limited to)
- Raising data quality and performance levels in our organization, especially with respect to critical data elements, including accounts, contacts, leads, opportunities, and closed business.
- Establishing and maintaining a set of processes and controls aimed at ensuring data quality and integrity issues are surfaced and addressed on an ongoing basis
- Creating and publishing data hygiene reports so that the broader organization has visibility to the quality and integrity of the data at any given point in time as well as on an ongoing basis
- Ensuring best in class data sources are leveraged to enrich the quality of the data in our core systems
- Working closely with other members of the Business Operations team to surface and address data quality issues
- Ensuring that the data leveraged in core operational reporting is accurate and complete at all times
- Validating and processing data import inquiries
- Identifying, investigating, and managing the resolution and escalation of data quality issues
- Coordinating regular and ongoing data quality audits
- Coordinating various data cleanup tasks which include: deduping account and contact data, ensuring data enrichment via our standard tools is performed consistently and correctly, overseeing the SFDC account creation process to prevent duplicates and ensure all internal requirements are met
Your Qualifications
- BA/BS degree or equivalent practical experience
- 1-year minimum in a data management role
- Extensive research Capabilities in Web Portals
- Knowledge Required on MS office especially Excel
- Hands on CRM Applications, Salesforce Preferred
- Knowledge on Duns and Bradstreet Hierarchy
- Fluency in English , Verbal as well as written
- Having aptitude for computer systems and software and have strong analytical abilities.
- Ability to manage multiple priorities
- Logical thinker with superb interpersonal skills
- Ability to work well under pressure
- Organized and detail-oriented
- Comfortable with ambiguity
- Customer service oriented
- Great teammate
- Salesforce experience preferred
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visithttp://www.egnyte.com/">www.egnyte.com
Responsibilities
> Selecting features, building and optimizing classifiers using machine
> learning techniques
> Data mining using state-of-the-art methods
> Extending company’s data with third party sources of information when
> needed
> Enhancing data collection procedures to include information that is
> relevant for building analytic systems
> Processing, cleansing, and verifying the integrity of data used for
> analysis
> Doing ad-hoc analysis and presenting results in a clear manner
> Creating automated anomaly detection systems and constant tracking of
> its performance
Key Skills
> Hands-on experience of analysis tools like R, Advance Python
> Must Have Knowledge of statistical techniques and machine learning
> algorithms
> Artificial Intelligence
> Understanding of Text analysis- Natural Language processing (NLP)
> Knowledge on Google Cloud Platform
> Advanced Excel, PowerPoint skills
> Advanced communication (written and oral) and strong interpersonal
> skills
> Ability to work cross-culturally
> Good to have Deep Learning
> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview
> will be an added advantage
IOS DEVELOPMENT:
- Willing to contribute in Small or Large Project Teams
- Must be willing to start Immediately work from home permanent
- Good Communication Skills (English)
- Can Allocate working hours (Flexible) as per Projects Req.
- Must have Good Internet & Good Laptop/System
Shift Time - 5:30 PM to 10 AM (night shift)
Week Off - 5 days working 2 days week off (Rotational)
6th day can be mandatory working as per business requirement - paid separately for it
Education - HSC minimum
Experience -Fresher and Experience (BPO and non BPO) both can apply
Salary - Fresher - 236000/- (15+2+1), Non BPO experience - 252000/- (17+2+1), BPO CS 269000/-(18+2+1), BPO sales, retention, collection exp - 290000 (20+2+1), collection experience over 1 year upto 350000/- (25+2+1) post approval.
What you will do:
- Working with business teams across the company to define requirements and high-level process/system solutions, leading cross-functional teams (10-25) and managing the timelines for field sourcing teams to support sourcing and on-boarding of supply
- Working on strategies to acquire supply for existing business and new product lines and executing through field teams
- Driving margins improvements by improving supply acquisition cost
- Improving driver engagement and adoption to technology
- Regularly communicating with senior management and clients on status, risks and change control
- Defining KPIs/KRAs on which would form the base for different processes
Desired Candidate Profile
What you need to have:- Graduates from Tier 1/2/3 engineering colleges and/or Tier 2/3 management colleges
- 2-10 years of frontline operational experience in B2B domain at a city/hub level
- Ability to adapt quickly to a new environment
- The Analyst will work with our Quant Research team and will assist in projects to improve stock selection, portfolio construction or implementation.
- Main goals for the candidate would be around developing smart beta index portfolios.
- Research on topics specific to quant trading, including AI/ML, statistical arbitrage, momentum, mean-reversion, factor investing and applications of statistics and econometrics models.









