What are the responsibilities and job description for the Python Pyspark AWS Developer position at iMinds Technology Systems, Inc.?
Job Details
Role: Python Pyspark AWS Developer
Location: Plano, TX / Jersey City, NJ(Onsite)
Location: Plano, TX / Jersey City, NJ(Onsite)
Duration: Long Term (Looking For EAD) {W2}
Job Description:
Core responsibilities
- Data pipeline development: Design, develop, and maintain high-performance data pipelines using PySpark.
- Performance optimisation: Optimise and tune existing data processing workflows for better performance and efficiency.
- Data transformation: Implement complex data transformations and integrations, such as reading from external sources, merging data, and loading into target destinations.
- Troubleshooting Monitor and troubleshoot performance issues, errors, and other problems in data processing systems.
- Collaboration Work with cross-functional teams like data scientists, data engineers, and business analysts to understand requirements and deliver solutions.
Required skills and qualifications
- Technical skills Strong proficiency in Python and Apache Spark is essential, along with experience in distributed computing concepts.
- Big data ecosystem Experience with big data technologies like Hadoop, Hive, and data storage solutions (e.g., HDFS, AWS S3) is often required.
- SQL Proficiency in SQL for querying and data modelling is a must.
- Cloud platforms Familiarity with cloud environments like AWS, Google Cloud, or Azure is a significant advantage.
- Development tools: Experience with version control (Git) and CICD tools like Jenkins is often expected.
- Other skills: Knowledge of Linux, shell scripting, and agile methodologies is beneficial.
- Data pipeline development: Design, develop, and maintain high-performance data pipelines using PySpark.
- Performance optimisation: Optimise and tune existing data processing workflows for better performance and efficiency.
- Data transformation: Implement complex data transformations and integrations, such as reading from external sources, merging data, and loading into target destinations.
- Troubleshooting Monitor and troubleshoot performance issues, errors, and other problems in data processing systems.
- Collaboration Work with cross-functional teams like data scientists, data engineers, and business analysts to understand requirements and deliver solutions.
Required skills and qualifications
- Technical skills Strong proficiency in Python and Apache Spark is essential, along with experience in distributed computing concepts.
- Big data ecosystem Experience with big data technologies like Hadoop, Hive, and data storage solutions (e.g., HDFS, AWS S3) is often required.
- SQL Proficiency in SQL for querying and data modelling is a must.
- Cloud platforms Familiarity with cloud environments like AWS, Google Cloud, or Azure is a significant advantage.
- Development tools: Experience with version control (Git) and CICD tools like Jenkins is often expected.
- Other skills: Knowledge of Linux, shell scripting, and agile methodologies is beneficial.
Thanks & Regards
--------------------------
Sravan Badugu
Talent Acquisition SpecialistiMINDS Technology systems, Inc.
Direct:
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Salary : $45 - $50
