Business Development executive

Role & Responsibilities

We’re looking for an experienced Data Architect to lead enterprise-scale data modernization initiatives leveraging Microsoft Fabric. In this role, you will define the target-state architecture, implement Medallion (Bronze/Silver/Gold) architecture within Fabric Lakehouse, and establish enterprise data governance frameworks. You will also build GenAI-ready data platforms that enable advanced analytics, machine learning, and secure enterprise-wide data access.

Responsibilities:

• Lead enterprise-scale implementation of modern data platforms using Microsoft Fabric
• Design and implement Medallion architecture (Bronze/Silver/Gold)
• Architect scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions
• Define data modeling standards (Dimensional, Data Vault)
• Establish data governance frameworks including cataloging and lineage
• Build CI/CD pipelines for data platforms
• Design AI/ML and Generative AI-ready architectures
• Build ingestion pipelines (batch, streaming, CDC)
• Enable real-time data processing
• Develop target-state architecture and standards
• Collaborate with cross-functional teams
• Act as a trusted advisor to clients

Ideal Candidate

• Strong Microsoft Fabric / Azure Data Architect profile
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations
• Mandatory (Experience 3) – Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads
• Mandatory (Experience 4) – Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures
• Mandatory (Experience 5) – Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses
• Mandatory (Experience 6) – Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines
• Mandatory (Experience 7) – Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls
• Mandatory (Skill 1) – Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management
• Mandatory (Skill 2) – Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases
• Mandatory (Skill 3) – Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting
• Mandatory (Note) – Only immediate joiners (within 15 days) will be considered
• Preferred (Certification) – Microsoft Fabric / Azure certifications; exposure to MDM, data quality frameworks, and enterprise metadata tools

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job Title: QC Analyst – Animation Team (Mid-Level)

Location: Bangalore (On-site)

Experience: 2–4 Years (Mid-Level)

Employment Type: Full-Time

Joining: Immediate

About Squadra Media:

Squadra Media is a fast-growing creative and tech agency working with global brands to deliver bold, engaging, and user-centric digital experiences. We specialize in animation, motion graphics, content creation, and digital solutions. As we scale our animation team, we are looking for a Mid-Level QC Analyst to ensure the quality, consistency, and accuracy of our animation projects.

Key Responsibilities:

• Review animation projects to ensure technical and creative quality standards are met.
• Check for consistency in style, colors, timing, and overall visual fidelity.
• Identify errors, missing frames, or rendering issues and coordinate with the production team for corrections.
• Maintain QC checklists and documentation for all animation projects.
• Ensure final deliverables meet client requirements and internal standards.
• Support continuous improvement initiatives for QC processes.

Requirements:

• 2–4 years of experience in animation QC, post-production, or a similar role.
• Strong understanding of animation principles, motion graphics, and post-production pipelines.
• Proficiency in tools like Adobe After Effects, Premiere Pro, Photoshop, or other relevant software.
• Keen attention to detail with a strong visual eye for quality.
• Ability to work under tight deadlines in a fast-paced environment.
• Good communication skills for reporting issues clearly and collaborating with the team.

What We Offer:

• Opportunity to work on diverse animation projects for global clients.
• Collaborative, creative, and high-growth work culture.
• Professional development and growth opportunities within the animation and production domain.
• Immediate joining opportunity for the right candidate.

Zemoso Labs is a product studio offering innovation-as-a-service, with design, engineering, and growth services. Our clientele includes Fortune 500 companies, disruptive startups, and unicorns from around the world.

We have operations in India, U.S., Europe, and Canada, and we have created over $8 billion in value for our customers.

At Zemoso Labs, we see marketing as a compelling vehicle to ‌ leverage to help us and our clients grow exponentially. The ideal candidate for this role will not only be data-driven, but an experimentation-oriented approach to campaign management.

The ideal candidate will be a team player who can give direction to other members of the team, take abstract input from senior stakeholders to translate to action items and collaborate with direct co-creators like designers and subject matter experts. They must understand how to create a narrative around a brand and extend it to every asset we create. Ability to learn and scale quickly, and be unafraid to ask questions are must-haves.

RESPONSIBILITIES

• Meeting with internal stakeholders and clients to determine their goals and budget
• Advising clients and other stakeholders on costs, expectations, outcomes, and processes
• Brainstorming ideas for marketing campaigns and paid advertising
• Brainstorming with a team of digital marketers, such as SEO specialists, content marketers, designers, sales specialists, and web developers
• Creating and managing paid ads across LinkedIn, Twitter, Facebook, Google, media partners, programmatic, display, search, networks and more
• Monitoring and analyzing web analytics and campaign performance
• Defining campaign budgets, aligning campaign goals, and ensuring adherence to search optimization principles
• Identifying and presenting new avenues of paid advertising
• Utilizing demand-side RTP platforms to promote adverts and campaigns
• Ensuring a positive ROI on client spending and PPC ad campaigning
• Coordinate with a team of individual contributors to meet deadlines for launch dates

Must-haves:

• Basic familiarity with concepts of campaign management experience across paid, organic, and other marketing efforts across channels
• Analytical mindset with an ability to map data to insights
• Impeccable ability to do customer journey mapping to identify pain points
• Work across multiple time zones (US, US (CST), Canada) as needed
• Ability to learn, scale, and ideate
• Ability to ask the right questions and focus on “what does success look like?”
• Google, Hubspot, and LinkedIn certifications are a huge plus
• Internship in SEO or SEM or Campaign Analytics preferred

Benefits:

• Competitive salary
• Work from anywhere in India
• Learning and gaining experience rapidly
• Reimbursement for basic work-from-home setup
• Insurance (including a top-up insurance for COVID)

Job Title: DIGITAL MARKETING FRESHERS

Company: WEB TECH EVOLUTION

Overview: About Us:-Web tech-Evolution is a rapidly growing IT company focused on providing web based development of ideas and software solutions globally. With a team comprising of software professionals having sound domain expertise, the company aims to divulge its knowledge through its competitive invention and dedicated services. Web tech evolution has designed and developed scores of websites over the past 3 years for clients from all over the world. It has also provided friendly customized solutions to problems and conceptions that can arise due to innovation, up gradation or competition.

KEY RESPONSIBILITIES:

• Create digital marketing campaigns.
• Ensure consistency in the brand messaging.
• Work with the sales team to coordinate marketing campaigns.
• Prepare emails and newsletters to send to current customers.
• Launch promotional offers and events to attract new customers.
• Optimize the business website to increase online traffic.
• Follow best practices for social media marketing on different platforms.

QUALIFICATIONS:

Minimum education requirement: Bachelor's Degree of Marketing.[U G/PG]

Communication skills

Knowledge of related field.

OTHER DETAILS:

Salary Range: Stipend

Working Hours: 10:00 am to 7:00 pm [Monday to Saturday]

Our client is a pet-care focused digital aggregator across various categories such as food, accessories, toys and grooming essentials. Their focus segment is the rapidly increasing community of pet parents. They offer expert-led online pet care consultation, training and healthcare services and products for dogs and cats, covering the lifecycle of a pet acting as a one stop shop. It is headquartered in Bangalore and was co-founded by startup veterans of whom 2 are IIM-Lucknow alumni and one is a Chartered Accountant. Our venture capital-backed client is funded by tier 1 investors and has raised approx. $3.5 mn in funding.

As a Growth Marketing Manager, you will be responsible for the strategy and execution of acquisition campaigns, across all the digital platforms like Facebook, Google, Affiliates and Partnerships, etc.

Desired Candidate Profile

• Discussing potential projects and their parameters with clients, executives, and software developers.
• Planning out the blueprints for software projects, including defining the scope, allocating resources, setting deadlines, laying out communication strategies, and indicating tests and maintenance.
• Assembling and leading the project team.
• Participating in and supervising each stage of the project.
• Ensuring each project stays on schedule and adheres to the deadlines.
• Creating a project budget and ensuring the project adheres to the budget as closely as possible.
• Determining and overseeing consistent testing, evaluation, and troubleshooting of all products in all stages of completion.
• Tracking milestones, deliverables, and change requests.
• Serving as a liaison to communicate information regarding changes, milestones reached, and other pertinent information.
• Delivering completed software products to clients and performing regular checks on the products' performance.