
Role: Data Engineer
Experience: 5+ Yrs
Type: Hybrid (3 Days a week)
Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta
End Client: Cognizant
Contract Duration: 6 Months
Shift:- 10 AM - 7 PM IST
Must Have:
* Strong experience in Python
* Expertise in Data Engineering Frameworks
* Hands-on experience with ETL processes
* CI/CD
* Experience working on GCP (Google Cloud Platform)

About TalentWeave
About
At TalentWeave, we specialize in linking highly skilled IT professionals with the best career opportunities. Our dedicated team of recruiters works relentlessly to identify, attract, and retain top talent within the IT industry. By understanding the unique needs of both candidates and employers, we ensure a perfect match that aligns with individual career goals and business objectives. Whether you’re looking for contract, contract-to-hire, or direct placement solutions, we offer personalized services tailored to meet the specific demands of organizations, from startups to established Fortune 500 companies. With a proven track record of success, we pride ourselves on consistently delivering the right talent for every opportunity.
Our commitment doesn’t stop at just placing candidates; we focus on long-term relationships built on trust, ensuring both clients and candidates thrive. Whether you’re a company seeking the right talent or an IT professional looking for your next role, TalentWeave is here to guide you through the journey every step of the way.
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Key Responsibilities
- Manage daily accounting operations in Tally ERP
- Handle Accounts Payable: invoice verification, vendor payments & reconciliation
- Prepare and file GST returns, maintain GST records & ensure compliance
- Calculate, deduct & file TDS returns
- Maintain ledgers, books of accounts & financial records
- Coordinate with vendors for billing, statements, and payment follow-ups
- Assist in monthly, quarterly & yearly closing activities
- Support internal & external audits with proper documentation
- Prepare MIS and financial reports as needed
🎯 Requirements
- 1–3 years of experience in accounting
- Strong knowledge of Tally ERP, GST, TDS, Accounts Payable
- Good understanding of accounting principles and compliance
- Proficiency in MS Excel
- Detail-oriented with good communication & organizational skills
Strong Data engineer profile
Mandatory (Experience 1): Must have 6 months+ of hands-on Data Engineering experience.
Mandatory (Experience 2): Must have end-to-end experience in building & maintaining ETL/ELT pipelines (not just BI/reporting).
Mandatory (Technical): Must have strong SQL capability
Preferred
Preferred (Experience): Worked on Call center data
Job Specific Criteria
CV Attachment is mandatory
Have you used Databricks or any notebook environment?
Have you worked on ETL/ELT workflow?
We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?
We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.
Key Responsibilities
- Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.
- Architect and evolve our cloud infrastructure to support 1B+ daily events — ensuring reliability, scalability, and cost efficiency.
- Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.
- Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.
- Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous learning.
- Partner with leadership on long-term architecture and scaling strategy — from infrastructure cost optimization to multi-region availability.
- Lead initiatives on infrastructure automation, deployment pipelines, and platform abstractions to improve developer velocity.
- Own security, compliance, and governance across infrastructure and data systems.
Who You Are
- Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.
- 5–12 years of total experience, with at least 2+ years in leadership or team-building roles.
- Deep experience with cloud infrastructure (AWS/GCP),
- Experience with containers (Docker, Kubernetes), and IaC tools (Terraform, Pulumi, or CDK).
- Hands-on expertise in data-intensive systems, streaming (Kafka, RabbitMQ, Spark Streaming), and distributed architecture design.
- Proven experience building scalable CI/CD pipelines, observability stacks (Prometheus, Grafana, ELK), and infrastructure for data and ML workloads.
- Comfortable being hands-on when needed — reviewing design docs, debugging issues, or optimizing infrastructure.
- Strong system design and problem-solving skills; understands trade-offs between speed, cost, and scalability.
- Passionate about building teams, not just systems — can recruit, mentor, and inspire engineers.
Preferred Skills
- Experience managing infra-heavy or data-focused teams.
- Familiarity with real-time streaming architectures.
- Exposure to ML infrastructure, data governance, or feature stores.
- Prior experience in the OTT / streaming / consumer platform domain is a plus.
- Contributions to open-source infra/data tools or strong engineering community presence.
What We Offer
- Opportunity to build and scale infrastructure from the ground up, with full ownership and autonomy.
- High-impact leadership role shaping our data and platform backbone.
- Competitive compensation + ESOPs.
- Continuous learning budget and certification support.
- A team that values velocity, clarity, and craftsmanship.
Success Metrics
- Reduction in infra cost per active user and event processed.
- Increase in developer velocity (faster pipeline deployments, reduced MTTR).
- High system availability and data reliability SLAs met.
- Successful rollout of infra automation and observability frameworks.
- Team growth, retention, and technical quality.
We are looking for a talented full-stack software engineer to join our small and extremely talented product team. We love to build amazing products fast and with a high standard of code and UX, always on the cutting edge of new technologies.
Tasks
- Design and build features end-to-end. You'll be working on the frontend, backend, and anything in-between, whatever it takes to solve problems and delight users.
- Build beautiful and usable UIs with our modern toolset of React (NextJS, ES11, TypeScript) and TailwindCSS.
- Continue developing our distributed backend using Node (NestJS + TypeScript) and Rust. Technologies also include PostgreSQL, Redis, and RabbitMQ.
- Stitch many different services and APIs together, even if you have not worked with them before.
- Build solutions that take scaling and growth into consideration while balancing the time to launch.
- Engineer solutions to solve existing tech debt and write maintainable, sound and safe code.
Requirements
- 3+ years of experience as a Software Engineer, working with Typescript, React and serious interest or even better experience with Rust. However, we care much more about your general engineering skill than your knowledge of a particular language or framework.
- The ability to put yourself in the users' shoes and craft intuitive, high-quality web UI experiences
- A high bar for code quality and robustness for long-term expansion and use
- High personal initiative to learn, improve, and excel
- A Can-Do, entrepreneurial mentality with enjoyment for being a generalist
- DevOps: Experience with CI/CD pipelines, Docker, Kubernetes, and other DevOps tools.
- Experience with distributed systems, scaling applications, and/or microservices.
- Fluent in English (German is a plus)
Plus:
- Hands-on experience with the Rust
- Experience with functional programming
- Previously worked in an early-stage startup and experienced scaling of engineering teams
BDA and BDE
ROLES
We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly.
Job Location: Work from home
Selection process: HR Round followed by group discussion and sales manager round.
Qualification: Any Graduate/Post Graduate
Salary offered: As per industry standards
Working days: 6 days Sunday is off
Shifts:10:00am -7:00pm
Mandatory language: English
Laptop/wi-fi: candidates are to use their own laptops,
Additional Compensation: If applicable, this will be decided on the basis of your designation.
- Crafting the performance marketing strategy for the company and managing the overall online marketing calendar around the same
- Managing all online properties of the brand
- Measuring ROI and a set of other KPIs, based on in-depth analysis of standard digital metrics
- Liaising with multiple agencies, as well as internal offline and traditional marketing teams to devise and execute innovative marketing campaigns throughout the year
- 5+ years experience in Digital Marketing with experience in Digital Advertising, Website Management, Lead Generation, and/or Lifecycle Marketing
- Experience with problem-solving and analytical skills including conducting qualitative and quantitative research, analyzing data, data visualization, developing hypotheses, synthesizing insights & recommendations
- Experience with digital and web analytics and data tracking tools (e. g., Google Analytics, ) and SQL
- Website management and technology experience including CMS, HTML, CSS, and Javascript
- Experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
- Experience using various Facebook Interfaces: Ads Manager, Power Editor, Business Manager, Page Insights
- Experience with ad serving tools and DSPs (e. g., DoubleClick, Adobe Advertising Cloud)
- Experience working both strategically as well as in an executional capacity to build and deploy the campaign
- Experience presenting ideas to several stakeholders at once
- Experience collaborating and coordinating with internal and external cross-functional teams
- Experience with digital marketing and digital measurement latest trends and best practices
Desired Skills and Experience
It was nice talking with you
As discussed please find below the job description and other needed details
“Squadcast is an incident-management platform for software teams of all sizes and shapes”
Our product helps global organizations adopt Site Reliability Engineering practices to improve their incident resolution metrics and ultimately, the reliability of their systems. If you're excited about engaging user experiences, snappy interfaces, and trustworthy systems, we should talk!
We ideate fast, embrace change, and take risks. From scaling our business model to expanding our offerings, the day-to-day at Squadcast offers endless professional growth opportunities. Our engineers work on state-of-the-art tech stacks with a high degree of autonomy.
Position : Backend SDE3
Experience : 8 to 11 Years
Work Mode: Remote work
Location : Bangalore
Role & Responsibilities :
- Work with a team of skilled engineers to improve the Squadcast product.
- Control what you work on, how you deliver and the roadmap of the product.
- Solve service reliability problems for teams and companies worldwide.
- Build delightful experiences and scalable, reliable systems for fellow engineers, the end users of our platform.
- Plan & develop tooling, processes and technical improvements to improve the multiple codebases.
- Work closely with the product team to plan, spec and deliver features, bugfixes and documentation.
- Work with the SRE and Customer Success teams to help customers and troubleshoot issues during our paid on-call rotations.
- Build, deploy and manage services and Backend Coding using Go/Node.
You may be a fit for this role if you:
- Are passionate about building products for fellow engineers.
- Are you a full-stack engineer, or a frontend/backend engineer interested in expanding to other areas of the stack?
- Either has experience in our tech stack or wants to work on it. We care about your general engineering skills and learning abilities more than your current tech stack.
- Communicate proactively and work autonomously, requiring minimal supervision or follow-up.
- I like to collaborate and pair with other engineers.
- Want to own features end-to-end: bring your ideas to the stakeholders, build consensus, plan, implement, deploy and release.
Your Response is acknowledged!
Kind Regards,
Lakshmi Kumari. S
(Associate - TA )
- Experienced professionals – 1 year to 3 years experience
- Candidate having creative thinking and original approach
- Willingness & ability to learn & work on new technologies
- Develop marketing strategies
- Search Engine optimization(SEO)
- Social Media Marketing
- Email Marketing
- PPC/Ad Management
- Interacting with the clients & managing their internet marketing accounts
- Building monthly reports, analyzing the data & measuring the impact of the internet marketing done for that month
- Write original, creative content for marketing purpose
- Google Analytics
- Google Search Console
- Google Adwords
- Facebook Insights
- Moz Tools
- Mailchimp & Benchmark email
- Google+
- Photoshop/Canva - Basic design skills are helpful to have
- Candidates from marketing background preferred
- Candidates having working knowledge of Adobe Photoshop or Canva preferred. Basic design skills are helpful to have
- Candidates must have good reading, writing, spoken English skills
- You are invited to send us your complete resume
- Attach previous work or portfolio or project details
- Resume should have candidate photograph in it
- Mention Linkedin Profile URL in the resume
- Do go over our company website http://www.ladybirdweb.com/" target="_blank">www.ladybirdweb.com | http://www.faveohelpdesk.com/" target="_blank">www.faveohelpdesk.com & LinkedIn profile before applying
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production










