Account Executives/ Business Development Managers

Job Title: Data Engineer

Location City: Gurugram

Industry: Research and Advisory Services

Role Overview

We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.

This role is hands-on and ownership-driven, with a strong focus on:

Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines

Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.

Key Responsibilities

Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including

 Salesforce (CRM)

 NetSuite (Finance)

 Marketing and RevOps tools such as Marketo, 6sense, Gong

 SharePoint (files, metadata, permissions)

Develop API-based Ingestion Frameworks Handling

 Authentication and authorization

 Pagination, rate limits, retries, and failures

 Incremental loads, soft deletes, and historical tracking

 Schema evolution and upstream source changes

ELT pipelines within Snowflake Write high-quality, optimized SQL for complex

transformations Build and manage data layers including raw, staged, and curated datasets

Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency

Models Including

 Fact and dimension tables

 Star and snowflake schemas

 Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness

 Support Snowflake Platform Foundations Including

 Warehouse and environment strategy (dev/test/prod)

 Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives

Maintain clear documentation for pipelines, data models, and data flows

Follow modern engineering practices including Git-based version control and CI/CD workflows

Education And Experience

Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.

7–10 years of hands-on experience in data engineering or similar roles

Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization

Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)

Advanced SQL skills and strong understanding of relational databases and data modeling

Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)

Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar

Strong problem-solving skills, ownership mindset, and attention to detail

Requirements

• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, Javascript (React.js), XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• 8 - 10 years of overall experience including 3+ years in mentoring & leading a high-performance team
• Experience developing desktop and mobile applications
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Have a strong understanding and appreciation for design first thinking and quality of user experience
• Be well-versed in sprint estimation, planning, tracking, change management and delivery, with prior experience of Agile-based development environments
• Strong command on vanilla/core JavaScript
• Knowledge of UI optimisations and performance.
• Deeper understanding of Chrome Dev Tools. Should understand the nuances of the timeline for perf monitoring.
• Deeper understanding of network layer, HTTP, HTTPS, cookies, local storage.
• Good communication skills, good visual design sense, in-depth experience in developing web-based applications.
• Strong technical aptitude and a good knowledge of CSS fundamentals

Job Description:

• Hands on experience with Ansible & Terraform.
• Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others. 
• Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
• Experience with Kubernetes is mandate.
• To develop and maintain tooling and environments for test and production environments.
• Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
• Good with Linux environment.

Key Skills: Responsible for creating successful campaigns, responsible for generating the ROI to the company, should have great knowledge of how ads work, knowledge on landing pages. 

About Company:  Workhours is India's 1st Ed-Tech Company Focusing on Self-Employment. We want to change the way people think about their careers from how to get a job to how to become self-employed. Example of how digital payments changed the behaviour of a person paying from cash to paying using digital apps. 

Job Description: we are looking for a skilled google ads executive who is excellent at creating successful campaigns, should be responsible for Generating the ROI of the company, and should have a piece of great knowledge of how ads work and having a great knowledge on landing pages. 

Roles and Responsibilities:

• Responsible for creating Successful Campaigns.
• Responsible for generating the ROI to the company. 
• Should have a piece of great knowledge of how ads work. 
• Great knowledge on landing pages. 
• Must know how google ads work (Algorithm) 

mandatory Skills:

•  Excellent communication skills
• Work report Submissions
•  Team Player
•  Able to Handle Multitasking 
•  Should be Good at Training (Very Very Important) 
•  Good at Planning Strategies.

We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

We are looking for an expert in machine learning to help us extract maximum value from our data. You will be leading all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. 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.

• Identify valuable data sources and automate collection processes
• Study and transform data science prototypes
• Research and Implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Extend existing ML libraries and frameworks
• Cross-validate models to ensure their generalizability
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Guide and mentor the respective teams

• Proven experience as a Machine Learning Engineer or similar role
• Demonstrable history of devising and overseeing data-centered projects
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Experience with cloud platforms like AWS/Azure/GCP
• Knowledge of server configurations and maintenance.
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Ability to select hardware to run an ML model with the required latency
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

• Inclination towards Mathematics and statistics to understand the algorithms at a deeper level
• Strong OOPs concepts (python preferable)
• Hands on experience with Flask or Django
• Ability to learn latest deployed models and understand their core architecture to gain breadth of expertise

• You are curious and aware of the latest tech trends
• You are self-driven
• You get a kick out of leading a solution towards its completion.
• You have the capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
• You are fun to hang out with!

Ensures the Daily/Weekly/Monthly reporting are sent timely

Ensure Accuracy of data reported

Updates and analyzes monthly billing hours reports

Prepares daily status report to keep a check on internal targets

Review the collated data to drive inferences and trends to improve process performance.

Analyzes productivity and inquires into the causes of slippages.
Attends weekly review meetings with clients on various reports.

Customizes reports as required by clients.

Audits all MI prepared by the Executives

Ability to make things with in the TAT and SLA

Ensure data protection for all MI

Ensure controlled access levels for all stakeholders accessing the MI Folder

Hand of experience in advance Excel