All offersWrocławDataHadoop Engineer
Hadoop Engineer
Data
Sofixit

Hadoop Engineer

Sofixit
Wrocław
Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Hybrid

Tech stack

    Apache Hadoop
    advanced
    Big Data
    advanced
    Docker
    nice to have
    ETL tools
    nice to have
    Java
    nice to have
    Python
    nice to have
    Kubernetes
    nice to have

Job description

Sofixit is at the forefront of innovation within the IT sector, with a strong emphasis on developing and implementing highly effective and scalable Big Data solutions in the cloud. Our expertise extends to software development and comprehensive technology consulting services.


We are seeking a Hadoop Engineer to join our dynamic product team. This role is crucial for designing, building, and maintaining our Hadoop-based ecosystems, which are central to our Big Data solutions.

 

In this position, you will be responsible for:


✓ Designing and implementing scalable Hadoop-based architectures to support big data processing and analytics.

✓ Working closely with the Development team to ensure seamless integration of Hadoop applications with existing systems.

✓ Managing Hadoop clusters, with a focus on tuning and scaling them for optimal performance.


We also expect that you:


✓ Possess at least 2 years of experience working as a Hadoop Engineer or in a similar role, with a proven track record in managing Hadoop ecosystems.

✓ Have a deep understanding of the Hadoop ecosystem, including HDFS, YARN, MapReduce, HBase, Hive, and other components.

Be proficient in programming languages relevant to data engineering, such as Java, Scala, or Python.

✓ Demonstrate experience with cloud platforms (AWS, Azure, Google Cloud) in managing and deploying Hadoop clusters.

Be familiar with Agile methodologies, capable of adapting to changing requirements and priorities swiftly.


We offer:


✓ Flexible work hours

✓ Health care 

✓ Paid vacations


Join Sofixit and become part of a dynamic team that values innovation, efficiency, and the contribution of every member. Together, we'll push the boundaries of what's possible in Big Data and cloud technology.