The Big Data Engineer will design and develop scalable data solutions, build data pipelines, ensure data quality, and collaborate across teams.
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.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
The Infrastructure Engineer role involves deploying and maintaining hosted solutions, designing infrastructure, and managing server hosting while ensuring high availability and performance.
Top Skills:
AnsibleAsa FirewallsAvamarCisco Nexus 7000Cisco Nexus 9000Cisco UcsData DomainEmc UnityF5 Dns Load BalancersF5 LtmPowershellPuppetPythonRhel 7.XVmware 6.XVmware 7.X
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
The Regional Support Manager leads and develops the Support function, ensuring high-performance customer service and strategic direction in the Middle East, while managing incidents and service delivery effectively.
Top Skills:
Itil
Cloud • Security • Software • Cybersecurity • Automation
Manage and develop partner ecosystems in MEA, drive growth strategies with partners, and facilitate collaboration across teams to meet sales objectives.
Top Skills:
Salesforce
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
