Job Description
Job Description:
Job Summary:
The Data Engineerwill develop, implement & test programs and scripts to automate tasks and data processing as well as utilize SQL for operation use. Responsibilities include performing data analysis, managing and monitoring data security & document procedures and best practices.
Duties and Responsibilities:
- Optimize and enhance data processing performance by identifying and resolving performance issues.
- Develop, implement & test scripts and programs in Python to automate data processing and analysis tasks.
- Utilize complex SQL for data extraction, manipulation, transformation, loading, optimizing performance and efficiency.
- Design, model and optimize data models and data structure for efficient reporting analysis, data visualization and data sharing.
- Collaborate with other teams such as business intelligence, applications, and consultants, to understand and meet client’s data needs and challenges.
- Perform data analysis and profiling to identify data quality issues anomalies and opportunities for improvement.
- Participate in managing and monitoring data security and access anomalies.
- Document and update procedures and best practices related to Python, libraries, algorithms, and related data processing technologies and propose innovative solutions.
Requirements and Qualifications:
- Must have from 4 - 8 years of experience in data engineering
- Cloud computing platforms: AWS/Azure/GCP
- Experience in data integration(ETL/ELT)development usingPython, PySpark, and SparkSQL.
- Data warehouse technologies: Redshift/Snowflake/BigQuery
- Data lake technologies: Hadoop, Spark, and Hive
- Orchestration: Airflow/Control-M/(Any Orchestration tool)
- Machine learning frameworks: TensorFlow, PyTorch, and sci-kit-learn
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills
- Excellent English communication
Please read the Job Description very well before applying
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