Big Data Analytics Engineer
2 weeks ago
We are seeking a highly skilled Big Data Analytics Engineer to join our team at Link Group.
As a key member of our data engineering team, you will design, implement, and optimize large-scale data processing pipelines using Apache Spark and Python.
Key Responsibilities:
- Develop, test, and maintain PySpark-based ETL pipelines to process and analyze large datasets.
- Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and design optimal solutions.
- Optimize PySpark applications for performance and scalability in distributed computing environments.
- Work with Hadoop-based data platforms and integrate with other tools like Hive, HDFS, or Kafka.
- Ensure data quality and integrity through robust validation and monitoring practices.
- Debug and resolve issues in production and pre-production environments.
- Document technical solutions and best practices.
Requirements:
- Data Engineering
- Big Data
- PySpark
- Python
- pandas
- NumPy
- Apache Spark
- AWS
- Azure
- GCP
- Hadoop
- Hive
- HDFS
- Kafka
- Airflow
- PostgreSQL
- Cassandra
- CI/CD Pipelines
- Git
- Machine Learning
- Docker
- Kubernetes
Salary: $120,000 - $180,000 per annum.
Benefits:
- Competitive salary
- Opportunities for career growth and professional development
- A supportive and collaborative work environment
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