Job Description:
- Seeking a Senior Python Data Engineer with 3 to 5 years of experience skilled in Apache Spark and Python to design and implement scalable data processing solutions
- Develop and maintain robust data pipelines using Apache Spark and Python
- Collaborate with data scientists and analysts to optimize data workflows
- Ensure data quality and integrity across large datasets Implement data transformations and aggregations for analytics and reporting
- Work with cross-functional teams to integrate data solutions into existing systems
- Monitor and troubleshoot data processing jobs to ensure reliability and performance
- Stay updated with emerging technologies and best practices in big data and Python development
Roles and Responsibilities
- Design develop and optimize scalable data processing applications leveraging Apache Spark
- Write clean efficient and reusable Python code to support data engineering tasks
- Analyze complex data sets to identify trends and insights for business use
- Collaborate with stakeholders to gather requirements and deliver data solutions that meet business needs
- Mentor junior team members and contribute to sharing knowledge within the team
- Participate in code reviews and ensure adherence to coding standards and best practices
- Manage data pipeline deployments and monitor their health in production environments
Mandatory Certificate
- DASCA Big Data Associate Big Data Analyst
- DASCA Big Data Associate Big Data Engineer
- DASCA Big Data Senior Big Data Analyst
- DASCA Big Data Senior Big Data Engineer
- IIBA Business Data Analytics Certification
Job Description: Seeking a Senior Python Data Engineer with 3 to 5 years of experience skilled in Apache Spark and Python to design and implement scalable data processing solutions Develop and maintain robust data pipelines using Apache Spark and Python Collaborate with data scientists and analysts...
Job Description:
- Seeking a Senior Python Data Engineer with 3 to 5 years of experience skilled in Apache Spark and Python to design and implement scalable data processing solutions
- Develop and maintain robust data pipelines using Apache Spark and Python
- Collaborate with data scientists and analysts to optimize data workflows
- Ensure data quality and integrity across large datasets Implement data transformations and aggregations for analytics and reporting
- Work with cross-functional teams to integrate data solutions into existing systems
- Monitor and troubleshoot data processing jobs to ensure reliability and performance
- Stay updated with emerging technologies and best practices in big data and Python development
Roles and Responsibilities
- Design develop and optimize scalable data processing applications leveraging Apache Spark
- Write clean efficient and reusable Python code to support data engineering tasks
- Analyze complex data sets to identify trends and insights for business use
- Collaborate with stakeholders to gather requirements and deliver data solutions that meet business needs
- Mentor junior team members and contribute to sharing knowledge within the team
- Participate in code reviews and ensure adherence to coding standards and best practices
- Manage data pipeline deployments and monitor their health in production environments
Mandatory Certificate
- DASCA Big Data Associate Big Data Analyst
- DASCA Big Data Associate Big Data Engineer
- DASCA Big Data Senior Big Data Analyst
- DASCA Big Data Senior Big Data Engineer
- IIBA Business Data Analytics Certification
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