Big Data Engineer

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office or Remote
Mid level
Information Technology
The Role
The Big Data Engineer will design and develop scalable data solutions, build data pipelines, ensure data quality, and collaborate across teams.
Summary Generated by Built In

Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.

Key Responsibilities:
  • Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.
  • Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.
  • Ensure high data quality and integrity by implementing robust data validation and testing processes.
  • Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.
  • Monitor and troubleshoot data processing workflows to ensure timely data delivery.
  • Document data architectures, processes, and workflows for knowledge sharing and compliance.
  • Stay ahead of industry trends and best practices in big data technologies and methodologies.

Requirements

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3+ years of experience as a Big Data Engineer or in a similar data engineering role.
  • Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.
  • Strong coding skills in programming languages like Java, Scala, or Python.
  • Familiarity with data processing frameworks and ETL tools.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).
  • Analytical mindset and excellent problem-solving abilities.
  • Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
  • A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.

Preferred Qualifications:

  • Experience with machine learning frameworks and algorithms is a plus.
  • Knowledge of data governance and security best practices.
  • Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.

Benefits

1- Attractive Package.

2- Family Benefits.

3- Visa.

4-Air Tickets.

Top Skills

Spark
AWS
Azure
BigQuery
Docker
GCP
Hadoop
Hdfs
Java
Kafka
Kubernetes
Python
S3
Scala
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The Company
Dubai
9 Employees

What We Do

At Müller's Solutions, we believe in empowering businesses to leap forward, and our mission is to provide top-tier tech services that fuel your growth. Our services include SAP Implementation & Support, Tech Recruitment, and Tech Outsourcing. We are your dedicated partners, providing a unique blend of technical expertise, global reach, and a commitment to exceptional service.

Global Reach:
With offices in Berlin, Riyadh, Dubai, and Cairo, our global presence is more than just a point on a map. It's the backbone of our ability to deliver the best solutions and talent to you, wherever you are. Our geographical dispersion grants us access to a vast and diverse talent pool across Europe, Asia, Africa, and the Middle East. This means we can swiftly and efficiently connect you with the right talent and the right solutions, no matter where you are.

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