Description
In the fast-paced world of Big Data, companies often drown in the sheer volume and complexity of their data. They struggle to create systems that ensure data quality, integrity, and security while being both scalable and efficient. The need for robust, high-performance data processing solutions has never been greater as data volumes soar.
Enter Totogi. We're rewriting the playbook with our cutting-edge Big Data solutions, leveraging the latest Hadoop ecosystem and cloud technologies. By working closely with data scientists and analysts, we are building data processing systems that supercharge our business. We're powering data-driven business decisions and delivering insights that matter to the company's bottom line.
In this role, you’ll go beyond the technical confines and dive deep into collaboration with data experts. You'll design and implement state-of-the-art data architectures, create and maintain efficient data pipelines, and ensure our data infrastructure is bulletproof. Your work will be the backbone of our data strategy, making you a pivotal player in our mission to transform data into actionable intelligence.
Join our team and become the mastermind behind our data infrastructure. You’ll be responsible for designing innovative Big Data solutions, developing high-performance data pipelines, and managing top-tier data infrastructure. With your skills in Hadoop tools, data processing frameworks, and cloud platforms, you'll drive our data initiatives to new heights. If solving complex data puzzles and working with the latest technologies excites you, then we want you on our team.
What you will be doing
- Designing Big Data Solutions: Developing and implementing Hadoop-based data architectures.
- Developing Data Pipelines: Creating and maintaining Hadoop-based data pipelines and workflows.
- Managing Data Infrastructure: Administering Hadoop clusters and related tools.
Key responsibilities
- Building a robust and scalable data processing system that ensures data quality, integrity, and security to support business needs and optimize performance.
Candidate requirements
- At least 2 years of experience as a Big Data engineer or architect working with Hadoop
- Proficiency in using Hadoop ecosystem tools (e.g., HDFS, Hive, HBase, Spark, Kafka)
- Familiarity with data warehousing concepts and ETL processes and cloud platforms (e.g., AWS, Azure, GCP)
- Proficiency in coding and LLM prompt engineering
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
