A specialist can only develop steadily when their team remains stable. At NIX, we are searching for Middle/Senior Data Engineer Scala, believing that the ideal candidate will continue to advance professionally and achieve new career milestones.
We are looking for a contractor who, if necessary, is ready to independently relocate to Hungary, Budapest.
RESPONSIBILITIES:
Collaborate with cross-functional teams to identify, design, and implement real-time data processing features to meet dynamic business requirements.Architect and maintain scalable systems for extracting, transforming, and loading data from diverse sources such as external APIs, data streams and databases.Implement robust solutions adhering to data privacy and security standards, ensuring compliance and data integrity.Monitor industry trends and advancements in real-time data processing, proposing and implementing changes aligned with organizational goals.Share expertise and collaborate with teams on various data engineering and project-related topics.Evaluate, select, and implement tools and strategies for effective real-time data integration scenarios.WHAT WE EXPECT FROM YOU:
4+ years of commercial experience in data engineering, emphasizing real-time processing.Proficient programming skills in Scala.In-depth understanding and practical experience with distributed computing approaches, patterns, and technologies, especially those related to real-time processing (e.g., Spark Streaming, Akka Streams).Hands-on experience with any cloud platform (GCP, AWS, Azure) and its data-oriented components.Strong proficiency in Scala, SQL and query tuning.Expertise in data warehousing principles and modeling concepts.Competence in using relational databases (PostgreSQL, MSSQL or MySQL).Experience orchestrating data flows using tools like Apache Flink, Apache Kafka or similar technologies.A collaborative team player with excellent communication skills.Minimum English level B2.WILL BE A PLUS:
Expertise in stream processing using industry standards (e.g., AWS Kinesis, Kafka Streams, Spark).Deep knowledge of data storage design principles and understanding of SQL/NoSQL solutions and their configurations.Experience in modern data warehouse building using platforms like Snowflake, AWS Redshift or BigQuery.Proficiency in Spark internals, including tuning and query optimization for real-time processing.Background in data integration and business intelligence architecture with a real-time perspective.Experience with data lakes and lake-houses (e.g., Azure Data Lake, Apache Hudi, Apache Iceberg, Delta Lake).Familiarity with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment.Knowledge of popular data standards and formats (e.g., JSON, Avro, ProtoBuf).Exposure to data science and machine learning.WHAT WE OFFER:
Competitive compensation packages.Private health insurance (Medicover), which covers immediate family members.AYCM sport pass, providing discounts at various sports facilities in Hungary.Interesting tasks and diverse opportunities for developing your skills.Free training courses.Participation in internal and external thematic events, technical conferences.A spacious office in the heart of Budapest (13th district).All necessary devices and tools for your work.Active corporate life.The friendly and supportive atmosphere within the team.Free coffee and cookies 24/7.If you are ready for an absolutely new stage, send your resume to [email protected]. We will be happy to see how we can do something awesome together!
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