Job Description:

Job Summary:

The Data Engineer will 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 engineeringCloud computing platforms: AWS/Azure/GCPExperience in data integration (ETL/ELT) development using Python, PySpark, and SparkSQL.Data warehouse technologies: Redshift/Snowflake/BigQueryData lake technologies: Hadoop, Spark, and HiveOrchestration: Airflow/Control-M/(Any Orchestration tool)Machine learning frameworks: TensorFlow, PyTorch, and sci-kit-learnExcellent problem-solving and analytical skills.Strong communication and interpersonal skillsExcellent English communication

Please read the Job Description very well before applying

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