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Big Data Architect

2 miesięcy temu

Kraków, Lesser Poland Daxx Pełny etat
Unlock Your Potential as a Cloud Big Data Engineer at Daxx

We are seeking an experienced Cloud Big Data Engineer to join our team at Daxx, a leading digital transformation consulting and implementation services provider. As a key member of our engineering team, you will have the opportunity to work on cutting-edge projects that drive innovation and growth for Fortune 1000 companies.

About Us

Daxx is a digital-native technology services provider with a strong presence in the industry. We offer a range of services, including omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Our team is comprised of global engineering talent, and we leverage technology accelerators and an agile delivery culture to achieve high speed-to-market, quality, and efficiency.

Job Description

This role involves designing and developing scalable and reliable big data solutions using Scala, Hadoop, and Spark technologies. You will be responsible for architecting, implementing, and optimizing data pipelines and workflows for efficient data processing, storage, and retrieval. Additionally, you will manage and optimize Hadoop cluster resources to ensure high availability, reliability, and scalability of big data applications.

The successful candidate will have extensive experience with Apache Hadoop ecosystem components, such as HDFS, MapReduce, Hive, Pig, and HBase. In-depth knowledge of Apache Spark, including Spark Core, Spark SQL, Spark Streaming, and MLlib, is also required. Experience with data modeling, schema design, and ETL processes using big data technologies is essential. Proficiency in SQL and NoSQL databases, as well as hands-on experience with cluster management tools like Apache YARN, Apache Mesos, or Kubernetes, are necessary for this position.

Qualifications
  • Strong Programming Skills: Proficiency in Scala and Java, including a deep understanding of functional programming concepts in Scala.
  • Expertise in Big Data Technologies: Extensive experience with Apache Hadoop ecosystem components.
  • Advanced Spark Knowledge: In-depth knowledge of Apache Spark, including Spark Core, Spark SQL, Spark Streaming, and MLlib.
  • Data Modeling and ETL: Experience with data modeling, schema design, and ETL processes using big data technologies.
  • Cluster Management Tools: Hands-on experience with cluster management tools like Apache YARN, Apache Mesos, or Kubernetes.
  • SQL and NoSQL Databases: Proficiency in SQL and NoSQL databases.
Benefits
  • Competitive Salary: $150,000 - $200,000 per annum, depending on experience.
  • Flexible Schedule: Ability to work from home or in our office.
  • Professional Development Opportunities: Training and certification programs to enhance your skills.
  • Well-Equipped Office: State-of-the-art facilities and equipment.

We are proud to offer a comprehensive benefits package, including medical insurance, sports, and corporate social events. If you are passionate about working on bleeding-edge projects and contributing to the growth of a digital-native technology services provider, apply now to become part of our team