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.
Top Skills
Spark
AWS
Azure
BigQuery
Docker
GCP
Hadoop
Hdfs
Java
Kafka
Kubernetes
Python
S3
Scala
Similar Jobs
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The International Field Service Representative will provide tailored solutions, technical support, and training for Silvus' radio and networking products, while also influencing product development.
Top Skills:
C/C++LinuxTcp/Ip
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Sales Executive will sell SailPoint Identity Security solutions, exceed revenue goals, engage with customers, and collaborate with partners to enhance customer satisfaction.
Top Skills:
Salesforce
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead Services Business Development for the Telecommunications segment across EEMEA, driving revenue through client engagement, proposals, and long-term strategy development.
Top Skills:
Data ProductsSoftware Platforms
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
