Position: Growth Marketing Ninja
Location: Remote - based in India
Experience: 3-5 years
Timings : Must be able to work 3-4 hours in the eastern time zone to overlap with key stakeholders
About Us:
Plobal Apps is a no code platform that helps online brands build mobile apps in minutes. We are one of the largest app builders in the Shopify ecosystem, powering apps for some of the world’s largest brands like Steve Madden, Forever 21, Bailey’s Blossoms & thousands more. Our team currently operates out of Toronto, Pune & Bangalore.
We’ve raised over $10 million in funding and are backed by Bessemer Venture Partners, Elevation Capital & Better Capital.
What you will do:
- You will work closely with the CEO
- Strategize and execute paid and organic campaigns
- Set up and optimize outbound email campaigns, working closely with the Sales team
- Build and execute content marketing strategies to drive leads
- Plan and manage the design, content, and production of all marketing materials with designers
- Manage the SEO initiatives - strategizing, planning and execution (coordinating with an agency)
Who we are looking for:
- At least 3-5 years of digital marketing experience forB2B SaaS companies
- Excellent at written communication
- Excellent at creating compelling decks
- Well versed in analyzing data and funnels
- Tech Savvy and excited to explore and work with new technology
Benefits:
- Remote first work culture
- Health Insurance Coverage of INR 5,00,000
- 21 Paid Personal leaves + 10 Paid National Holidays per calendar year
- Maternity and Paternity Leave
- High learning curve
- Opportunity to work with some of the coolest brands in the world
Ready to help us build the next generation of mobile commerce?

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Data Engineer at Amura
Amura’s Vision
We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.
Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.
We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.
Role Overview
We are looking for a hands-on Data Engineer to design, build, and maintain scalable data pipelines and data platforms. You will work on ingesting, transforming, and serving data reliably for analytics, reporting, and downstream applications, collaborating closely with backend engineers, analysts, and data scientists. This role is ideal for someone who enjoys building robust data systems, working with large datasets, and writing clean, production-grade code.
Key Responsibilities
Data Pipelines & Development
- Build and maintain reliable ETL/ELT pipelines for batch and near-real-time data processing.
- Ingest data from multiple sources (databases, APIs, event streams, files).
- Transform raw data into clean, analytics-ready datasets.
- Optimize pipelines for performance, scalability, and cost.
Data Storage & Modeling
- Design and manage data models in data warehouses or data lakes.
- Work with SQL and NoSQL databases and modern data warehouses.
- Implement partitioning, indexing, and efficient query patterns.
- Maintain documentation for schemas, pipelines, and transformations.
Cloud & Tooling
- Build data solutions on cloud platforms (AWS preferred).
- Use services such as S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis, or equivalents.
- Work with orchestration tools like Airflow or similar schedulers.
- Use version control, CI/CD, and Infrastructure-as-Code where applicable.
Data Quality & Reliability
- Implement data validation, monitoring, and alerting for pipelines.
- Troubleshoot data issues and ensure pipeline reliability.
- Collaborate with stakeholders to resolve data discrepancies.
Collaboration
- Partner with analytics, product, and engineering teams to understand data needs.
- Support analysts and data scientists with clean, accessible datasets.
- Participate in code reviews and contribute to data engineering best practices.
What We’re Looking For
- Experience: 4-6+ years of experience as a Data Engineer / Data Developer.
- Programming: Strong programming skills in Python.
- Databases: Excellent knowledge of SQL and relational data modeling.
- Pipelines: Experience building ETL/ELT pipelines in production.
- Cloud: Hands-on experience with cloud-based data platforms (AWS preferred).
- Concepts: Understanding of data warehousing concepts and best practices.
Nice to Have:
- Experience with Spark, Kafka, dbt, or Flink.
- Familiarity with orchestration tools like Airflow.
- Experience with streaming or event-driven data pipelines.
- Exposure to data quality or observability tools.
- Experience working with large-scale or high-volume datasets.
Additional Information
- Office Location: Chennai (Velachery).
- Work Model: Work from Office - because great stories are built in person!.
- Online Presence: https://amura.ai (@AmuraHealth on all social media).
JD (Job Description) focuses on driving sales, managing operations, and leading staff, covering responsibilities like achieving targets, visual merchandising, inventory control, customer service excellence, staff recruitment/training, ensuring brand consistency, and analyzing sales data, all while upholding company policies and maintaining a positive store environment. Key qualifications include leadership, retail experience (preferably apparel), strong communication, POS system proficiency, and a customer-focused approach.
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-Good communication skills as the candidate will be directly dealing with clientCoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to unleash the power of the cloud on their terms by helping them rapidly achieve continuous and autonomous cloud governance at scale. CoreStack enables enterprises to realize outcomes across FinOps, SecOps and CloudOps such as a 40% decrease in cloud costs and a 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well-Architected Framework (WAF). CoreStack works with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.
The company is backed by industry-leading venture investors. CoreStack is a recent recipient of the 2021 Gold Stevie American Business Awards in the Cloud Infrastructure category and the 2021 Gold Globee Winner of the Most Innovative Company of the Year in IT Cloud/SaaS. In addition, CoreStack won the 2021 Best New Products American Business Award in Cloud Governance as well as Golden Bridge Awards for Cloud Computing/SaaS Innovation and Cloud Security Innovation. CoreStack was recognized as IDC Innovator in Cloud Management Solutions and in the Gartner Magic Quadrant for Cloud Management Platforms in 2020. The Company is a three-time TiE50 Winner and an Emerge 50 League-10 NASSCOM award recipient in Enterprise Software. CoreStack is a Google Cloud Build Partner, Microsoft Azure Gold & Co-Sell Partner, and Amazon AWS Advanced Technology Competency Partner.
Responsibilities:
- Part of a product team responsible for the Quality of the product used by Global customers
- Drive the automation efforts to reduce the time taken to identify issues
- Contribute towards the process improvement involving the entire Product development life cycle.
- Should be able to capture the user behavior and identify the gaps in UX flows.
- Responsible for the performance and usability of the Product.
Requirements
- Minimum 4+ Years of experience in testing domain.
- Should be well versed with Software Testing Methodologies and Techniques
- Should have experience in AWS or Azure or Google Cloud
- Should have experience in Manual Testing and identifying the critical scenario.
- Should have experience in Data Base testing
- Should have experience in Test Management tools.
- Should have experience in performance testing, load testing and basic knowledge on security testing.
- API testing using Soap UI is an added advantage.
- Selenium with Java is an added advantage.
- CI & CD using Jenkins is an added advantage.
- Prior work experience with Cloud domain and cloud based products is a Plus
CoreStack Offers
- Competitive salary
- Competitive benefit package with appreciable equity
- Exciting, fast-paced and entrepreneurial culture
- Health insurance and other company benefits
The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions.
If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities.
Who are you?
- Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving
- Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions
- You use cloud for more than just provisioning a Virtual Machine
- Vim is friendly to you and you know how to exit Nano
- You check logs before screaming about an error
- You are a solid engineer who writes modular code and commits in GIT
- You are a doer who doesn’t say “no” without first understanding
- You understand the value of documentation of your work
- You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines
Eligibility
Experience
- At least 2 years of Data Engineering Experience
- Have interacted with Customers
Must Have Skills
- Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES
- Apache Spark
- Python
- Scala
- PostgreSQL
- Git
- Linux
Good to have Skills
- Apache NiFi
- Apache Kafka
- Apache Hive
- Docker
- Amazon Certification
Total Experience: 3 to 15 Years
Notice period: Immediate to 30 Days.
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· Must have in depth understanding of the L1, L2, L3 support environment.
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· Familiarization with OSLC and REST APIs
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· Knowledge of LDAP
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Preferred Experience
· Understanding of high-availability, fault-tolerant, scalable, distributed systems
· Working knowledge of iText 7, OpenFeign, RabbitMQ/JMS, Mockito and jUnit/nUnit, Spring Cloud
Salary is not constriant. Candidate should have interest to new things.
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Payment card industry preferred









