About us
Dapps is a decentralized app store that makes it easy to adopt and find Web 3 applications. Dapps use protocol-level technology as their foundation to create a decentralized, open-source app store.
To us, a company’s culture is the team’s everyday actions and beliefs. We aspire to create a team of individuals who hold common values but are diverse in their worldviews.
Responsibilities
- Work with multi-disciplinary teams: design, art, production, engineering, etc. from product conception and throughout production to shape and thoroughly document the product strategy, including feature sets, merchandising, purchasing drivers, pricing, tools, and other success factors.
- Measure the success of product features after release and optimize their performance through split testing and rapid, data-informed iteration.
- Ideally, you have previous technical experience with Decentralized products. You are driven by shipping financial services built on crypto assets and public blockchain infrastructure.
- Highly organized with the ability to manage projects and consistently meet deadlines.
- Ability to resolve business as well as technical issues and served as a liaison between business groups and technical developers.
- Flexibility to adapt to a changing environment, keeping current with new and updated processes and procedures
Requirements
- 3+ years of relevant experience
- Conversant in the fundamentals of DeFi/Web3/Blockchain/Crypto
- Strong analytical skills and ability to strategize across multiple product areas and potential business opportunities
- Love for unicorns :)
You take care of our business we will take care of you,
- We make sure you are growing professionally with quarterly goals and appraisals
- Health is wealth, so we provide health insurance
- Stand on Top - Employee professional development program
- Welcoming a new member of the family is a great please so we provide maternity and paternity leave
And much more...
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are looking for a DataOps Engineer with expertise while operating a data lake. Amazon S3, Amazon EMR, and Apache Airflow for workflow management are used to build the data lake.
You have experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.
If you love solving problems using yo, professional services background, usual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Operate the current data lake deployed on AWS with Amazon S3, Amazon EMR, and Apache Airflow
- Debug and fix production issues in PySpark.
- Determine the RCA (Root cause analysis) for production issues.
- Collaborate with product teams for L3/L4 production issues in PySpark.
- Contribute to enhancing the ETL efficiency
- Build CloudWatch dashboards for optimizing the operational efficiencies
- Handle escalation tickets from L1 Monitoring engineers
- Assign the tickets to L1 engineers based on their expertise
What are we looking for?
- AWS data Ops engineer.
- Overall 5+ years of exp in the software industry Exp in developing architecture data applications using python or scala, Airflow, and Kafka on AWS Data platform Experience and expertise.
- Must have set up or led the project to enable Data Ops on AWS or any other cloud data platform.
- Strong data engineering experience on Cloud platform, preferably AWS.
- Experience with data pipelines designed for reuse and use parameterization.
- Experience of pipelines was designed to solve common ETL problems.
- Understanding or experience on various AWS services can be codified for enabling DataOps like Amazon EMR, Apache Airflow.
- Experience in building data pipelines using CI/CD infrastructure.
- Understanding of Infrastructure as code for DataOps ennoblement.
- Ability to work with ambiguity and create quick PoCs.
You will be preferred if
- Expertise in Amazon EMR, Apache Airflow, Terraform, CloudWatch
- Exposure to MLOps using Amazon Sagemaker is a plus.
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
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- Managing existing programs to ensure seamless financing of supply chain partners of associated corporates.
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- Have experience in scaling sales through a resource-lean model
- Good understanding of Financial Products and Credit
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Full Stack Developer - Averlon