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Field Data Analysis Engineer at Ericsson

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Linux, Log Parsing, Data Cleaning, Time-Series Concepts, Problem-Solving, Communication, Radio/Telecom Knowledge, Embedded/Network Device Logs, Kafka, Logstash, Elasticsearch, InfluxDB, Prometheus, PySpark

Industry

Telecommunications

Description

Bachelor's degree in Computer Science, Electronics, Telecommunications, Statistics or related field; Proficient in Python and SQL; comfortable with Linux. Experience with log parsing (regex), data cleaning and basic time-series concepts (windows, alignment). Good problem-solving and communication skills; both in Chinese and English.Additional competence: Knowledge of radio/telecom (LTE/5G) and embedded/network device logs. Familiarity with Kafka, Logstash, Elasticsearch, InfluxDB, Prometheus or similar tools. Experience with PySpark or big-data processing for large-scale logs. Exposure to time-series anomaly detection or sequence pattern mining (rule-based, statistical, HMM, LSTM). Basic ETL/data-warehouse understanding (Airflow, partitioning, parquet) and containerization (Docker/Kubernetes). The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: China (CN) || Beijing Req ID: 777319

Responsibilities

The role involves analyzing field data and building innovative solutions to complex problems. You will collaborate with a diverse team to push the boundaries of technology.