Lead Generation Specialist

About the Role

We’re looking for a Data Engineer who can turn messy, unstructured information into clean, usable insights. You’ll be building crawlers, integrating APIs, and setting up data flows that power our analytics and AI layers. If you love data plumbing as much as data puzzles — this role is for you.

Responsibilities

- Build and maintain Python-based data pipelines, crawlers, and integrations with 3rd-party APIs.

Perform brute-force analytics and exploratory data work on crawled datasets to surface trends and anomalies.

- Develop and maintain ETL workflows — from raw ingestion to clean, structured outputs.

- Collaborate with product and ML teams to make data discoverable, queryable, and actionable.

- Optimize data collection for performance, reliability, and scalability.

Requirements

- Strong proficiency in Python and Jupyter notebooks.

- Experience building web crawlers / scrapers and integrating with REST / GraphQL APIs.

- Solid understanding of data structures and algorithms (DSA).

- Comfort with quick, hands-on analytics — slicing and validating data directly.

Good to Have

- Experience with schema design and database modeling.

- Exposure to both SQL and NoSQL databases; familiarity with vector databases is a plus.

- Knowledge of data orchestration tools (Dagster preferred).

- Understanding of data lifecycle management — from raw to enriched layers.

Why Join Us

We’re not offering employment — we’re offering ownership.

If you’re here for a job, this isn’t your place.

We’re building the data spine of a new-age supply chain intelligence platform — and we need people who can crush constraints, move fast, and make impossible things work.

You’ll have room to think, build, break, and reinvent — not follow.

If you thrive in chaos and create clarity, you’ll fit right in.

Screening Challenge

Before we schedule a call, we have an exciting challenge for you. Please go through the link below and submit your solution to us with the Subject line: SUB: [Role] [Full Name]

Link - https://dub.sh/slooze-takehome

Job Responsibilities:

Make outbound calls to potential customers.

Explain health insurance products clearly and accurately.

Convince customers politely and close sales.

Follow up with interested leads and maintain call records.

Update daily call status and reports.

Maintain professionalism and good customer interaction.

Other Requirements:

Must speak Kannada fluently and have basic English knowledge.

Good communication and convincing skills.

Comfortable with calling and sales roles.

Freshers with a positive attitude are welcome.

Willingness to learn and grow in telesales.

Immediate joiners preferred.

Key Responsibilities:

• Make outbound calls to potential customers from provided leads.
• Share information about ongoing and upcoming real estate projects.
• Understand customer needs and pitch suitable property options.
• Schedule site visits and follow up to ensure attendance.
• Maintain and update the CRM database with lead status and client interactions.
• Coordinate with the sales team to ensure smooth lead handover.
• Handle customer queries with clarity, professionalism, and accuracy.
• Achieve daily and weekly call targets and lead conversion goals.

Remuneration:

• Salary: Fixed monthly salary (based on experience and qualifications)
• Incentives: Attractive performance-based incentives on lead conversion
• Other Benefits: Opportunities for growth, training support, and a dynamic work environment

• Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 5+ years of hands-on demonstrable experience with:
  ▪ Object Oriented Modeling, Design, & Programming
  ▪ Microservices Architecture, API Design, & Implementation
  ▪ Relational, Document, & Graph Data Modeling, Design, & Implementation

• Well-versed in and hands-on demonstrable experience with:
  ▪ Stream & Batch Big Data Pipeline Processing
  ▪ Distributed Cloud Native Computing
  ▪ Serverless Computing & Cloud Functions

• 5+ years of hands-on development experience in Java programming.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Spring Boot, Apache Camel, Akka, etc.;
  extra points if you can demonstrate your knowledge with working examples.
  2+ years of hands-on development experience in one or more Relational and NoSQL datastores such as Amazon S3, Amazon DocumentDB, Amazon Elasticsearch Service, Amazon Aurora, AWS DynamoDB, Amazon Athena, etc.

• 2+ years of hands-on development experience in one or more technologies such as Amazon Simple Queue Service, Amazon Kinesis, Apache Kafka, AWS Lambda, AWS Batch, AWS Glue, AWS Step Functions, Amazon API Gateway, etc.

• 2+ years of hands-on development experience in one or more technologies such as AWS Developer Tools, AWS Management & Governance, AWS Networking and Content Delivery, AWS Security, Identity, and Compliance, etc.

• Well-versed in Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

• Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed with Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

•  Experience : 5+Years

• Job Location : Remote/Pune

Role - Manager Aggregation

Location - Bilaspur / Raipur

SCOPE OF WORK

This position will contribute towards connection with doctors. Broadly, the

position will:

● Planning and participating in project work plan meetings partners

especially the doctors and explain about company to tie up.

● Researching and enlisting the doctors to tie up with company

● Ensuring partners are providing quality project reporting on time, and

are receiving feedback on project implementation.

● Proactively meet with partners from industry and relevant public sector entities and representatives of our company.

Must Haves:

● Excellent communication skills

● Convincing power

● Should have team management experience.

● Mindset of working smart.

● Acquiring right partners.

● Strong existing network of Doctors

Benefits:

● Becoming a part of the early core team

● Competitive salary

● Work with colleagues from strong backgrounds & hungry to succeed

Manage all aspects of assigned properties

Design business plans for assigned properties that suit customers’ needs

Inspect and arrange maintenance to meet standards

Maintain a positive, productive relationship with tenants

Negotiate lease/contracts with contractors in a timely and reliable manner

Advertise and market vacant spaces to attract tenants

Collect receivable accounts and handle operating expenses

Develop and manage annual budgets by forecasting requirements and analyzing variances, data and trends

Oversee properties’ personnel and assess its performance

Accomplish financial goals and report periodically on financial performance

Source and build relationships with prospective clients to expand business opportunities

Update job and market knowledge

What you need to have:

Job Description

Software Engineer (Java)

About Ezeiatech

Founded over 8 years ago, we’ve grown from a small team in India’s start up city Gurgaon to a leading global software consultancy.

Over 100+ clients all over the globe are already satisfied by our services and the list continues to grow.

Ezeiatech is the next-generation global technology company that is helping enterprises reimagine their businesses for the digital age. Our technology products, services, and engineering are built on years of innovation, a strong culture of invention and risk-taking, and a relentless focus on customer relationships.

We expertly steer our clients through all the hurdles of their digital journey. We do it by enabling the enterprise with all the latest trends and technologies that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.

Roles & Responsibilities

• Contribute in all phases of the development lifecycle.
• Write well designed, testable, efficient code.
• Ensure designs are in compliance with specifications.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Desired Qualifications and Experience

• Computer Science or equivalent Engineering degree.
• 1 to 3 years of professional experience as a Java Developer.
• Hands-on experience in designing and developing applications using Java EE platforms.
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate).
• Experience in the Spring Framework.
• Experience with test-driven development.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

Responsibilities:

• Write well designed, testable, scalable and efficient code and oversee assigned programs (e.g. conduct code review) and provide guidance to team members
• Apply design principles to ensure code modularity and error handling at appropriate levels
• Communicate software requirements to development teams
• Evaluate and select appropriate software or hardware and suggest integration methods
• Address technical concerns, ideas and suggestions and provide technological solution to it
• Monitor systems to ensure they meet both user needs and business goals
• Design the overall structure of the platform and oversee programs to ensure the proper implementation of the architecture

Desired Skills and Experience

• 2-7years of relevant experience in an online start-up with a record of substantial achievements

in the specific role

• Strong programming foundation in PHP, MySQL, Oops Concepts and can develop core PHP based applications
• Must have worked on MVC frameworks – Laravel, CodeIgniter, Cake PHP or Zend.
• Experience with JavaScript and jQuery for producing AJAX applications.
• HTML5, CSS3, XML knowledge is mandatory
• Ability to make modifications to the systems with little or no interruption of service
• Solid exposure to API integrations and familiar with various design & architectural patterns
• Understanding fundamental design principles behind a scalable application
• Ability to thrive in a fast-paced, deadline-driven environment