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Job Title: Data Engineer

About the Role

We are looking for a highly motivated Data Engineer to join our growing team and play

a critical role in shaping the data foundation of different software platforms. This role sits

at the intersection of data engineering, product, and business stakeholders, and is

responsible for building reliable data pipelines, delivering actionable insights, and

ensuring data quality across systems.

You will work closely with internal teams and external partners to translate business

requirements into scalable data solutions, while maintaining high standards for data

integrity, performance, and usability.

Key Responsibilities

Data Engineering & Architecture

 Design, build, and maintain scalable data pipelines and ETL/ELT processes

 Develop and optimize data models in PostgreSQL and cloud-native

architectures

 Work within AWS ecosystem (e.g., S3, Lambda, RDS, Glue, Redshift, etc.) to

support data workflows

 Ensure efficient ingestion and processing of large-scale datasets

Business & Partner Integration

 Collaborate directly with business stakeholders and external partners to

gather requirements and deliver reporting solutions

 Translate ambiguous business needs into structured data models and

dashboards

 Integrate with third-party APIs and other external data sources

Data Quality & Governance

 Implement robust data validation, monitoring, and QA processes

 Ensure consistency, accuracy, and reliability of data across the platform

 Troubleshoot and resolve data discrepancies proactively

Reporting & Analytics Enablement

 Build datasets and pipelines that power dashboards and reporting tools

 Support internal teams with ad hoc analysis and data requests

 Partner with product and engineering teams to embed data into the SaaS product experience

Performance & Scalability

 Optimize queries, pipelines, and storage for performance and cost efficiency

 Continuously improve system scalability as data volume and complexity grow

Required Qualifications

 3–6+ years of experience in Data Engineering or related role

 Strong proficiency in Python for data processing and scripting

 Advanced experience with PostgreSQL (query optimization, schema design)

 Hands-on experience with AWS data architecture (S3, RDS, Lambda, Glue,

Redshift, etc.)

 Experience integrating with external APIs

 Solid understanding of ETL/ELT pipelines, data modeling, and warehousing

concepts

 Experience working cross-functionally with business stakeholders

Preferred Qualifications

 Experience in AdTech, eCommerce, or SaaS platforms

 Familiarity with BI tools (e.g., Looker, Tableau, Power BI)

 Experience with workflow orchestration tools (e.g., Airflow)

 Understanding of data governance and compliance best practices

 Exposure to real-time or streaming data pipelines

What We’re Looking For

 Strong problem-solver who can operate in a fast-paced, ambiguous

environment

 Ability to balance technical depth with business context

 Excellent communication skills — able to work directly with non-technical

stakeholders

 Ownership mindset with a focus on execution and quality

InCruiter is a next-generation technical screening and talent assessment platform. We are a SaaS-based organization with an interview service (IaaS) at its core. IaaS & Video Interview

Platforms have a combined market size of 5-6Bn USD. It’s a niche and new market segment in the B2B sector.

EXCITED ABOUT YOUR TASKS?

Role Overview: We’re looking for a high-energy and results-driven Business Development Representative (BDR) to join our growth team. The ideal candidate will have hands-on experience in outbound B2B sales, a product-first approach, and a passion for scaling SaaS solutions. Prior experience in HR Tech or SaaS sales is a strong plus.

Responsibilities:

● Drive outbound prospecting via cold calls, LinkedIn, email campaigns, and networking.

● Identify, qualify, and nurture leads across SMBs, mid-market, or enterprise clients.

● Own the end-to-end sales cycle — from first touch to closing the deal.

● Conduct compelling product demos to potential clients, addressing pain points and

showcasing value.

● Collaborate with marketing, product, and customer success teams to refine sales messaging

and pitch strategy.

● Maintain accurate pipeline management in CRM and provide weekly/monthly forecasts.

● Consistently exceed sales targets and contribute to overall revenue growth.

Must Have:

● 2–4 years of experience in B2B outbound sales (preferably in SaaS or product-based

companies).

● Strong understanding of solution selling and value-based consultative sales.

● Experience in SaaS, HR Tech, or recruitment tech is highly preferred.

● Proven ability to manage the complete sales cycle — from outreach to closure.

● Excellent communication, presentation, and negotiation skills.

● Comfortable using tools like CRM (e.g., HubSpot, Salesforce), LinkedIn Sales Navigator, and

email outreach platforms.

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing.

Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together.

If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role & Responsibilities

As an SEO Executive, your responsibility involves improving overall website traffic, search engine rankings, website performance, and conversion rates using the provided tools and resources. You will collaborate closely with designers, developers, and content writers to implement required on-page, technical, and content-related changes.

Your responsibilities will also include:

• Conducting comprehensive SEO audits and identifying technical, on-page, and off-page improvement areas
• Monitoring website health, crawlability, indexing, and performance issues
• Executing and optimizing on-page SEO strategies to improve rankings and conversions
• Performing keyword research and competitor analysis to support SEO strategy
• Managing link-building activities, including outreach and relationship building
• Tracking SEO performance, traffic trends, and rankings on a regular basis
• Preparing and presenting detailed SEO reports with clear insights and recommendations
• Staying updated with search engine algorithm changes and evolving SEO trends
• Working proactively to improve organic visibility and long-term search performance

Requirements

• Strong knowledge of SEO best practices
• Solid technical SEO understanding with the ability to identify issues and provide recommendations
• Experience in on-page SEO optimization to improve traffic and conversion rates
• Ability to prepare detailed website audit reports using tools like Ahrefs and SEMrush
• Skill in finding high-quality websites across multiple niches for link building
• Proficiency in writing outreach emails
• Experience in keyword research using SEO tools
• Ability to measure results and generate reports using tools like SEMrush and Google Analytics
• Strong coordination skills to work with content writers for SEO-friendly content creation
• Ability to update and refine SEO strategies based on changing trends
• Excellent verbal and written communication skills

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Key Areas of Responsibility:

● Growth

○ Consumer:

■ Understand the core consumer needs, and collaborate with product and design to build the right consumer experience and optimise conversion funnels.

■ Lead the development and execution of comprehensive growth strategies, focusing on user acquisition, activation, and retention.

■ Oversee and optimise performance marketing channels, including paid advertising, SEO, SEM, and partnerships.

■ Utilise data analytics to identify trends, insights, and areas for improvement in the user journey.

■ Develop and implement strategies to increase customer retention and lifetime value.

○ Partnerships

■ Define the partnerships and spiritual leader outreach strategy to align with the consumer need and company vision.

■ Build a high quality curated leader community by developing a deep understanding of the ecosystem and nurturing leader relationships.

■ Work closely with the content team to align leader onboarding strategy with the overall content strategy.

● Strategic Support:

○ Collaborate closely with the founding team to drive and execute key strategic initiatives.

○ Conduct market research, prepare reports, and provide insights to support decision-making.

● Problem Solving:

● Anticipate challenges and proactively identify solutions to address them.

● Assist in resolving operational issues and roadblocks.

Qualifications

● Bachelor's degree in Engineering; MBA is a plus.

● Previous experience in a Product or Chief of Staff or similar role, preferably in a startup environment.

● Exceptional organisational and project management skills.

● Ability to work independently and collaboratively in a fast-paced environment.

● Flexibility and adaptability to handle evolving responsibilities.

Key Responsibilities :

Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team

Out-of-box thought process on the DevOps Automation Platform implementation

Expose various tools and technologies and do POC on integration of the these tools

Evaluate Backend API's for various DevOps tools

Perform code reviews keep in context of RASUI

Mentor the team on the various E2E integrations

Be Liaison in evangelizing the automation solution currently implemented

Bring in various DevOps best Practices/Principles and participate in adoption with various app teams

Must have:

Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience

Should possess minimum 3 years of strong experience in DevOps

Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)

Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )

2+ Experience in creating solutions and translate to the development team

Should have strong understanding of OOPs, SDLC (Agile Safe standards)

Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)

Proficient in various cloud platforms (Azure/AWS/Google cloud platform)

Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps