Short description

We are seeking a Big Data Specialist to design and implement secure, scalable data pipelines and platforms using cloud technologies. This role involves enabling advanced analytics through data warehousing and modeling techniques while optimizing storage and processing costs for large-scale data solutions.

Job description

• Design and implement scalable, secure data pipelines and platforms using cloud technologies

• Enable advanced analytics on large datasets through data warehousing and modeling techniques

• Optimize storage and processing costs for large-scale data solutions

Benefits

• Membership in APM.Digital club - become APM Expert

• Beer box for each APM Expert

• 100% work from home

• Multisport card

• Flexible working hours

• Tax and social counseling for freelancers

• Work with the most modern tools on the market in all areas

• Young team, frequent team building

Requirements

• Big Data Tools: Expertise with Apache Kafka, Flink, Spark, Hadoop, HDFS

• Databeses: Strong knowledge of SQL and NoSQL (e.g., MongoDB, Cassandra, HBase)

• Search Engines: Proficiency in analytics suites like OpenSearch or Elasticsearch

• Cloud Platform: Experience with AWS or Azure (e.g., AWS EMR, Azure HDInsight, Cloudera), including Kubernetes and tools like Terraform/Ansible

• Programming: Strong skills in Python and Java

• Data Warehousing: Familiarity with data architecture, modeling, integration, and governance

• Analytics: Knowledge of statistical methods and tools

• Security: Awareness of data security practices and privacy regulations

• Strong communication skills and the ability to work in cross-functional teams

The position is suitable for candidates with education

Bachelor’s or Master’s degree in Computer Science, Data Science, IT, Statistics, or Engineering

Language skills

English Language - upper intermediate (B2)

German Language- benefitial

Number of years of experience

Minimum of 4+ years of experience

Information concerning the recruitment process

• We will give feedback to all candidates invited to the interview