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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Position Insurance Follow Up - 2 (ISP-2)
Shift US Shift (05:30 PM to 03:00 AM)
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Education +2 or Graduate in any stream
Training/Work
experience Billing & collections training and/or 1 year of industry experience in the relevant function
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Capable of task execution based on work instructio
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To ensure success as a product engineer, you should have excellent analytical and design skills, good working knowledge of design software, and advanced troubleshooting skills. A top-notch product engineer should be able to transform ideas into high-end products that perfectly meet the needs of our customers.
Product Engineer Responsibilities:
- Meeting with the development team to discuss product ideas.
- Analyzing market and industry product trends.
- Determining product feasibility costs and return on investments.
- Developing design ideas based on customer interests, budgets, and market research.
- Creating rough product designs using sketches and computer software.
- Conducting theoretical testing on design models.
- Creating full product designs and specifications using computer software modeling techniques.
- Selecting product materials and designing the product manufacturing process.
- Overseeing production and ensuring that products conform to market specifications and safety regulations.
Product Engineer Requirements:
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- Previous experience working as a product engineer.
- Advanced analytical and design skills.
- Excellent written and verbal communication skills.
- Knowledge of industry and market trends.
- Ability to visualize theoretical models and design ideas.
- Good project management skills.
- A keen eye for detail.
- Design and develop product components and validate them for technical design,performance, and production readiness.
- Review product requirements, provide estimates, write unit test.
- Maintain, improve, and integrate existing components and applications.
- Works with support and consulting teams in resolving customer issues.
- Interacts with teams as required in understanding, reproducing, and troubleshooting customer issues.
- Work in an agile, rapid development and prototyping environment where effective
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- Bachelors degree in computer science or equivalent with 3- 5 years of experience or
- Master’s degree in computer science or equivalent level of experience
- Highly proactive, result-oriented and team player.
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- Expertise in debugging UI issues from the browser.
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- Must have generated a minimum of $1-2M revenue in the last 12 months
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- Closely work with the product management team to transform the product roadmap to the engineering plan.
- Convert high-level engineering plan into an agile sprint plan with accurate effort estimation ensuring smooth and
- timely delivery – Take complete ownership and lead from the front with high levels of hands-on expertise.
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- Experience on any of the front-end JavaScript frameworks such as ReactJS, Angular.
- Good knowledge of HTML/CSS/JavaScript/Ajax/Web-services.
- Demonstrated technical expertise in Relational and Non- Relational Database.
- Exposure to API concepts would be an added advantage.
- Ability to create/review base level architecture, create and maintain product roadmaps.
- Enjoy working in a fast-paced company environment.
- Should be stack agnostic and should not have any tech prejudice.
- Willing to work in PHP + MongoDB driven environment.
- Prefer non-hierarchical, independent and non-pushy environment.
- Are self-motivated to take up a high degree of ownership.
- Passionate about programming and can't sleep without coding.