Senior Data Engineer

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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