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Big Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Deep understanding of big data technologies like Hadoop, Spark, Kafka. Degree in Computer Science, Data Science, Mathematics or related field. Experience in cloud computing platforms (AWS, GCP, Azure). Proficiency in programming languages like Python, Scala, Java. Analytical mindset with problem-solving approach..

Key responsabilities:

  • Build and manage scalable big data infrastructures for AI projects. Process, clean, and structure petabytes of data. Collaborate with data scientists to deploy models for complex patterns. Implement cutting-edge tech and methodologies in data processes. Provide insights for decision-making processes.
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Job description

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Your missions

Unleash the Power of Data

We believe in the transformative power of data. As a Big Data Engineer, you'll play a pivotal role in our mission to harness vast amounts of information, turning it into actionable insights that can change the world. Our data isn't just big; it's colossal, and we need your skills to help us navigate, analyze, and innovate in an ocean of bytes.

What You'll Be Doing:

  • Building and managing robust, scalable big data infrastructures that support groundbreaking AI and machine learning projects.
  • Working with petabytes of data, your role will involve processing, cleaning, and structuring it to unlock its true potential.
  • Collaborating with data scientists and AI engineers to design and deploy models that make sense of complex patterns and predictions.
  • Innovating and implementing cutting-edge technologies and methodologies in data storage, data processing, and data visualization.
  • Playing a key role in decision-making processes by providing insights and data-driven recommendations that guide strategic directions.

Why Join Us:

  • Be at the forefront of the data revolution, working on projects that have a real impact on society.
  • A competitive salary, comprehensive benefits, and stock options in a rapidly growing company.
  • Flexible working arrangements to support your work-life balance.
  • Continuous learning opportunities, with access to courses, workshops, and conferences to enhance your skills.
  • A vibrant, inclusive culture that celebrates diversity and innovation.

Requirements

Who's Right for the Job:

  • Someone with a deep understanding of big data technologies like Hadoop, Spark, Kafka, and ecosystems around them.
  • A degree in Computer Science, Data Science, Mathematics, or a related field is highly valued.
  • Experience in cloud computing platforms (AWS, Google Cloud Platform, Azure) is crucial for designing and deploying scalable solutions.
  • Proficiency in programming languages used in data engineering, such as Python, Scala, or Java.
  • An analytical mindset and a problem-solving approach, passionate about finding hidden patterns and insights within data.

Benefits

  • Unlimited Paid Time Off (PTO): Encourages work-life balance and shows trust in your employees to manage their time effectively.
  • Professional Development Fund: Allocate a certain budget for each employee to attend conferences, workshops, or courses of their choice, fostering continuous learning and growth.
  • Remote Work Options: Even post-pandemic, the flexibility to work from anywhere can be a huge draw for talent who value the ability to travel or prefer not to relocate.
  • Wellness Programs: Offer subscriptions to mental health apps, fitness memberships, or even in-office wellness activities like yoga and meditation sessions.
  • Pet-Friendly Workplace: Allow employees to bring their pets to work, reducing stress and promoting a more relaxed atmosphere.
  • Tech Stipend: Provide a budget for employees to set up or upgrade their home office setup, ensuring they have the tools they need to succeed.
  • Four-Day Work Week: Implement a condensed workweek to promote productivity and work-life balance.
  • Parental Support: Offer generous parental leave policies, childcare assistance, or even on-site childcare services.
  • Sabbatical Leave: Allow employees to take an extended leave of absence after a certain period of employment to travel, pursue personal projects, or simply recharge.
  • Equity or Stock Options: Give employees a stake in the company's success, aligning their interests with the company's long-term goals.
  • Transportation and Parking Benefits: Provide subsidies for public transportation, electric vehicle charging stations, or free parking to ease the commute.
  • Customized Career Pathing: Work with employees to design personalized career development plans, acknowledging their unique strengths and ambitions.
  • Health and Safety: Offer comprehensive health insurance, including mental health coverage, and ergonomic workplace assessments to ensure physical well-being.
  • Food and Snacks: Provide free meals, a well-stocked kitchen, or food allowances, especially for teams working late or in crunch times.
  • Team Retreats and Offsites: Organize annual retreats in exciting locales to build team cohesion and reward hard work.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Problem Solving
  • Creative Thinking
  • Analytical Thinking
  • Collaboration

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