Big Data Architect

5 days ago


Fatih, Istanbul, Turkey Huawei Telekomünikasyon Dış Ticaret Ltd Full time

About Huawei Telekomünikasyon Dış Ticaret Ltd

We are seeking a motivated and skilled Junior-Mid-Senior Big Data Engineer to join our dynamic team.

Key Responsibilities:

  • Develop and implement Big Data solutions using technologies such as Python or Java, and SQL.
  • Support and collaborate with Solution Architects to develop optimal customer architecture solutions.
  • Leverage Data Visualization tools (PowerBI, Tableau, Grafana) to build meaningful insights from data analysis scenarios.
  • Apply knowledge of real-time data ingestion technologies to design efficient data flows.
  • Work within the Hadoop ecosystem (HDFS, MapReduce, Hive, Spark) to process and analyze datasets.
  • Design, implement, and maintain ETL/ELT pipelines.
  • Work with data storage formats such as ORC, Parquet, and CSV.
  • Collaborate with internal teams to explain and demonstrate Huawei Cloud Big Data capabilities.
  • Engage with customers in foreign countries, providing on-site or remote support and ensuring high-quality customer service and solution implementation.
  • Troubleshoot and optimize batch processing workflows using Hive, Spark, and other Big Data technologies.

Requirements

Required Qualifications:

  • BSc or MSc degree in Computer Engineering, Computer Science, Software Engineering, or a related technical field.
  • Minimum of 2 years of professional experience in Big Data engineering, with hands-on experience in Spark, Flink, Hadoop, and related technologies.
  • Knowledge in Python or Java programming languages.
  • Experience with SQL development (MySQL, PostgreSQL).
  • Hands-on experience with batch processing using Hive, Spark.
  • Knowledge of Data Storage Formats (ORC, Parquet, CSV).
  • Experience with Data Visualization tools (PowerBI, Tableau, Grafana) for building meaningful insights from complex data.
  • Experience with Data Warehousing and Data Lakes concepts.
  • Ability to communicate effectively and present technical concepts to both technical and non-technical audiences.
  • Experience working in Unix/Linux environments.
  • Fluency in written and spoken English is a must.
  • Enthusiasm for continuous learning and sharing knowledge with colleagues.
  • Familiarity with real-time data ingestion systems (Kafka, RabbitMQ) is a plus.

Seniority Qualifications:

  • Solid understanding of ETL/ELT methodologies and data processing best practices.
  • Designing and implementing complex pipelines in Data Warehouse and Data Lakes.
  • Comprehensive knowledge on open source Big Data product management (Hadoop, Flink, Hive, Spark, Clickhouse).
  • Comprehensive knowledge about Apache Hudi, Iceberg.

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