Business Development Manager

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

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

We are  Looking for a full-time Sitecore Content Author with 2 to 5 years of experience in web content production and Sitecore Personalize development within Sitecore CMS. Please find the below JD for your reference and let us know if you are interested in this position.

Preferred candidate profile

1. Bachelor's Degree or Equivalent Work Experience 

2. 2-5 Years of Experience in web content production

3. 2--5 years Experience with Sitecore CMS                                                

4. Experience with Sitecore Personalize development

5. 2-5 Years of Experience web content development     

• Working shift- US Mountain time.
• Looking for a full time resource for a 6 months contract starting from 1st April.

• Working with hiring managers to understand immediate and future requirements in the various business units
• Handle recruitment activities from gathering the requisitions, sourcing, screening, interviews, offers, follow-up till the candidate joins
• Implementing hiring strategies that can attract top talent with required skillsets
• Building an effective pipeline of candidates and managing candidate relationships
• Choosing the optimum recruitment channel with a special focus on new age sourcing techniques
• Ensuring delivery within agreed timelines and a formal tracking process/ reporting/ metrics
• Handling salary mapping, offer negotiation and following up with the candidates
• Managing reporting, analytics and key recruitment SLAs like cost per hire, recruitment cost ratio, source mix, offer to join ratio, hiring TATetc./ processes and compliance
• Stakeholder Management

What you need to have:

• Minimum 3+ years of experience in the recruitment domain
• Proven track record of hiring candidates, across levels in Engineering and Product functions
• Good communication and interpersonal skills
• Good with reports and creating dashboards
• Awareness of the latest sourcing channels and techniques
• Creative approach to work

The Lead Generation Intern is an entry level position with the responsibility of enabling new business through high-quality leads, prospects, and connections with high revenue potential in International Market.

Responsibilities:-

• You’ll be responsible for generating and nurturing leads for the organization using different marketing channels.
• Generate new leads using cold calling, email marketing, social media, and other relevant marketing channels.
• Classify hot, warm, and cold leads based on their need, budget, and decision-making capabilities. Accordingly, take the necessary steps to convert hot leads and nurture warm and cold leads.
• Organize and keep the lead status updated in the CRM software.
• Understand how the sales process works and manage the sales pipeline. Adhere to the process set by the management
• Participate in webinars, in-person events, conferences and network with peers and target audience to identify sales opportunities.
• Understand the pain points faced by the prospects during communication. Identify if they’re looking for specific features.
• Check for competitor products mentioned/used by leads and prospects during communication and the intent behind using them.

Desired Candidate Profile:-

• Interpersonal & Communication Abilities
• Good knowledge of internet searching, profile/data searching
• Strong communication skills are indispensable for Lead Generation Intern
• Computer Literacy
• A street smart candidate
• Must be active on social media platforms (e.g. Linkedin )
• Amazing research skills
• Basic knowledge of Lead Generation tools will be a plus

Rejolut - As a Career Differentiator

 - We are a young and dynamic team who are obsessed with solving futuristic and evolutionary business problems at scale with the next generation technology like blockchain, crypto and machine learning. Focuses on empowering people across the globe to be technically efficient, making advancements in technology and providing new capabilities that were previously thought impossible.

- We provide exposure to higher learning opportunities so that you can work on complex and cutting edge technology like React, React Native, Flutter, NodeJS, Python, Go, Svelte, WebAssembly. Strong expertise in  blockchain and crypto technology and working with the networks like Hedera Hashgraph, Tezos, BlockApps, Algorand, Cardano.

- We maintain high end transparency with clients and employees as Visibility unlocks Efficiency and trust unlocks Visibility.

- Company is backed by two technology Co-founders, well-versed with consumer applications and their work has been downloaded millions of times and a Sales/Marketing Co-founder, exceptionally well at managing relationships, networking and business collaborations. All three comes with a diverse and unconventional background in thought and technology leadership positions in companies like Samsung, Purplle, Loylty Rewardz.

Benefits :

> Health Insurance

> Work from Home

> Fast growth and more visibility into the company

> Experience to work on the latest technology

> Competitive Learning Environment with supportive co-workers

> Employee friendly HR Policies

> Paid leaves up to certain limits

> Competitive salaries & Bonuses

> Liberal working atmosphere

> Get mentored by the best in the industry

Schedule:

Day Shift

Monday to Friday